cameras

Oppo Find X9 Ultra vs Vivo X300 Ultra, two titans in photography with many differences in their cameras

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What do you base on when buying a mobile phone? Many people do it prioritizing the photographic section and currently there are proposals as attractive as the Oppo Find X9 Ultra or the Vivo X300 Ultra. But… which is better? In this article we are going to put them face to face to clarify some doubts. Oppo Find X9 Ultra (with photo kit) The price could vary. We earn commission from these links Vivo X300 Ultra (with photo kit) The price could vary. We earn commission from these links The differences between the Oppo Find X9 Ultra and the Vivo X300 Ultra Camera settings To be clear from the beginning, we are going to review the camera configuration on both phones. Although it is not the big claim, we will also mention the front camera in case it is important to you. Oppo Find X9 Ultra 50 MP front camera; f/2.4. Rear camera module: 200 MP main sensor, f/1.5. 200 MP 3x telephoto, f/2.2. 50 MP 10x telephoto, f/3.5. 50 MP wide angle, f/2.0, 123º FOV. Vivo X300 Ultra 50 MP front camera, f/2.45. Rear camera module: 200 MP main sensor, f/1.85. 200 MP telephoto, f/2.67. 50 MP wide angle, f/2.0, FOV 123.4º. main sensor Both the Oppo Find X9 Ultra and the Vivo X300 Ultra have a 200 megapixel (MP) sensor. Is it a good number? Of course, since it represents the information that the camera can capture in a photo. If it is larger, as is the case, the sharpness will be better and it will be less blurry when enlarged. In any case, the Vivo’s main sensor offers a 35mm equivalent focal length (instead of the typical 23-24mm wide angle), while the Oppo does use a more angular focal length. In both cases we also find a fairly large main sensor with a size of 1/1.12 inches. The size has a lot to do with the ambient light it is able to collect. In other words, imagine that the sensors are like windows, the larger they are, the more light they will let in. In practice, it improves image quality in difficult conditions, generating a more natural background blur, which is usually known as the bokeh. The opening is different in both cases. The Oppo Find X9 Ultra opts for an aperture of f/1.5 while the Vivo And this… what does it mean? The smaller the f/number, the larger the actual aperture of the lens: f/1.5 lets in more light than f/1.85. Oppo’s mobile is physically capable of capturing more light, making it ideal for taking photos in dark environments. Finally, optical stabilization (OIS) is present in both phones. OIS is a system that physically compensates for hand movements by moving the sensor or the optical elements of the lens. Zoom and Telephoto The Oppo Find X9 Ultra incorporates a system with two telephoto lenseswhich means that it has two lenses capable of capturing images at a great distance. And it does so without resorting to a digital system that usually achieves worse results. The first 200 MP telephoto lens includes three magnifications (3x) and f/2.2 aperture, thus offering good quality in, for example, objects or people that are not excessively far away. The second telephoto lens is 50 MP and includes 10x magnification (x10) with f/3.5 aperture, so its use is aimed at very distant distances. In addition, its aperture is smaller (less light enters), which can affect poorly lit scenes. Instead, the Vivo X300 Ultra comes with a single 200 MP telephoto lens with 3.7x magnification (3.7x) and f/2.67 aperture. This means that its sensor offers very good quality at medium distances, especially in less illuminated environments. In addition, it should be added that this mobile phone has ZEISS certification, a technology that corrects color and reduces flare to generate more realistic photographs. The ultra wide angle camera Both the Oppo Find X9 Ultra and the Vivo X300 Ultra use a sensor 50 MP ultra wide angle with f/2.0 aperture. The difference between the two is minimal: 123° versus 123.4°, which in practice is imperceptible. What might it be interesting for? For photos with landscapes in the background. Other sensors Although they may seem the least relevant, it is worth mentioning that both phones come with an additional sensor. 3.2 MP monochrome sensor with f/2.4 aperture for the Oppo Find X9 Ultra, a camera that helps better capture contrasts and shadows. Additional 5 MP sensor with f/2.0 aperture for the Vivo X300 Ultra, a camera that helps to have better focus. The accessories Both phones are compatible with their respective photographic accessories. Oppo Find Vivo Additionally, it includes a grip and a tripod adapter. In summary: In any case, we are faced with two very good mobile phones in their photographic section. We are going to comment on the key points of each mobile phone without taking into account its accessories, which are optional. 👉 Choose Oppo Find X9 Ultra if: You are looking for the best main sensor. It is one of the cameras with the smallest aperture (f/1.5) currently, which offers very good results in darker environments. You are looking to take daytime photographs with high lighting using the telephoto lens with higher magnifications, since it far exceeds (x10) the Vivo X300 Ultra (3.7x). 👉 Choose Vivo X300 Ultra if: You are looking for the clean result that the ZEISS lens offers. You are looking to take photographs at a great distance, capturing the lighting well at sunset. Technical sheet with the main differences between the Oppo Find X9 Ultra and the Vivo X300 Ultra oppo find x9 ultra vivo x300 ultra SCREEN 6.82-inch AMOLED panel QHD+ resolution 144Hz frequency HBM brightness of 1,800 nits 3,600 nits peak 6.82 inch AMOLED QHD+ resolution (3,168 x 1,440 pixels) Refresh rate: 144 Hz 510 DPI Format: 19.8:9 Screen/front ratio: 94.49% HBM brightness: 1,800 nits Local maximum brightness: 4,500 nits PROCESSOR Snapdragon 8 Elite Gen 5 Snapdragon 8 Elite Gen 5 RAM 12GB 16GB LPDDR5x … Read more

why the great battle of mobile cameras is in size and not in megapixels

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How difficult can it be? know if the camera of one mobile phone is better than that of another. An example as a riddle, let’s see if you can see, at a glance, which camera is better. They are the two main cameras of two different phones: 50 megapixel sensor with f/1.7 aperture and one-inch size. 3.2 µm pixels and OIS stabilization. 200 megapixel sensor with f/1.7 aperture and 1/1.4 inch size. 0.56 µm pixels and OIS stabilization. Since a large number always attracts attention, a first glance could tell us that the camera with 200 megapixels is better than the one with 50 megapixels. Is that so? Well, not in this case, since the top camera (which corresponds to a Xiaomi 17 Ultra) It’s much better than the one below (from a Redmi Note 15 Pro+). That is something we could know from the size of the sensor and the pixels, which is exactly what we are going to explain in this article. A camera with more megapixels is not necessarily better Cameras are increasingly a claim by manufacturers when it comes to selling mobile phones. This is nothing new, since we have been seeing different races between them for years: first they were to offer more megapixels and then, to have a greater number of cameras. As we have seen in the example above, even cheap phones already have sensors with 200 megapixels. But, Does that mean the camera is better? In order to answer this question, we are going to explain what a megapixel is. A megapixel (also called ‘MP’ or ‘mpx’ on mobile devices) is equivalent to one million pixels and is an element that is not used to measure the quality of a sensor or an image, but its resolution. In short, the higher the number of megapixels, the larger the image size will be. This is very useful because it allows you to take large photographs and later make a digital crop to have an enlarged image. It is a very interesting solution for mobile phones that do not have a telephoto sensor (like the iPhone 17efor example), but it is not a factor that will determine the quality of the photograph. I understand this, now let’s talk about a key concept in photography: light. The more light a camera captures, the better the image quality and the less noise it will have. This is where pixel size comes in: the larger they are, the more light they are able to collect. What’s happening? That you cannot fit a huge number of megapixels into a small sensor because, in that case, each pixel receives less light. That is exactly the opposite of what we are looking for in photography, but it is a problem that is diluted if the sensor is larger. Why is sensor size so important? If the camera sensor is larger, the pixel and megapixel size will be larger. so they will capture more light. In fact, this is another detail that we can see in the example cameras that we used at the beginning of the article, since they tell us the size of their pixels measured in micrometers (or µm). The larger these are, the more light they will capture. Precisely based on this, manufacturers use a technique called ‘Pixel Binning’. Explained very simply, it is a process by which pixels join adjacent ones, thus forming larger pixels (and therefore, capable of capturing more light). There the number of megapixels (and therefore the resolution) is reduced in exchange for gaining more light. At this point, the question may arise in our mind as to why manufacturers don’t introduce larger sensors in phones. The answer, if we ignore the cost of these, is that you not only have to mount them: they have to be placed on the mobile so that it can take advantage of them 100%. And that takes up a lot of space on a device that seeks to be (relatively) thin. And where is the size of a sensor most noticeable? Well when we go to take a photo and there is little light. These large sensors offer more natural results at night and when lighting is poor, all without the need for overly aggressive software processing. It also performs very well with the contrast between dark and brightly lit areas, in addition to achieving a natural blur effect without having to resort to Portrait mode (or what is usually called ‘bokeh). How can I find out the size of a camera sensor? Sensor size is expressed in inches, usually as a fraction: for example, 1/1.95″. The smaller that fraction (closer to 1), the larger the sensor. A 1/1.3″ sensor is larger than a 1/1.95″ sensor. Megapixels are easy to sell because they are a large number and easy to compare in a store. Sensor size is harder to communicate, harder to manufacture, and harder to make profitable in the mid-range. That’s why manufacturers highlight it when they have it and omit it when they don’t.. Now you know which column to look at. Two mobile phones with one-inch sensors In recent months we have been seeing mobile phones with very good photographic sections and the vast majority of them (if not all) have one-inch sensors. It is true that we have mobile phones with an outstanding photographic section that barely have a sensor like this, like the Vivo X300 Ultra (main camera sensor measures 1/1.12 inch), he Vivo X300 Pro (1/1.28 inch) or the OPPO X9 Ultra (also 1/1.12 inch). There are many aspects that come into play when talking about mobile photography. and not all of them are physical (the processor and software also have a lot to say). Now, we have two good examples with one-inch sensors that we are going to see right below. Xiaomi 17 Ultra We have used it as an example because the Xiaomi 17 Ultra is one of the best cameras we have seen on mobile phones … Read more

Toyota has created the city of the future and it is full of AI and cameras that protect you. It’s also a privacy nightmare

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At the foot of Mount Fuji, Toyota he has been building a city for years entire designed from scratch to test their future inventions. It’s called Woven City, and it already has its first inhabitants. And although the city does not lack one bit of technology, living there also involves making certain concessions in terms of privacy. Below these lines we tell you all the details. Why does this exist? At CES 2020, then-Toyota CEO Akio Toyoda advertisement that the company was going to build a laboratory city on the land of a former factory in Susono, in the Japanese prefecture of Shizuoka. The idea was not to create just another corporate campus, but to build a real urban environment where engineers, researchers and residents would coexist and test advanced mobility, robotics, artificial intelligence and sustainability technologies. The project, developed under the subsidiary Woven by Toyota, has cost about 10 billion dollars, according to they count from Ars Technica, and its first inhabitants arrived just a few months ago. In detail. Woven City has, at the moment, about 100 hand-selected residents, who they internally call Weavers. They are Toyota employees and people chosen for their technological profile. They live in Japandi-style apartments (fusion between Nordic and Japanese) equipped with domestic robotics and health monitoring systems. The city is powered by rooftop solar panels and hydrogen fuel cells, and its streets are designed in three categories based on vehicle speed: expressways, personal mobility zones, and pedestrian-only areas. When completed, the total area will be about 294,000 square meters, although only about 10% of the planned space is operational right now. What is proven there. Residents act as beta testers for a diverse list of projects: from AI karaoke systems that choose songs based on mood to an air conditioning system capable of eliminating 95% of pollen from the environment, something relevant in a country where half of the population suffers from allergies. Delivery robots, tricycles or, as point the middle, the Guide Mobi, an autonomous vehicle that acts as a digital towboat to take cars out of the garage and take them to their owners without the driver having to move. According to they count From Ars Technica, 98% of residents have given permission for a robot with cameras to operate within their own homes. Here comes the problem. For all of this to work, Woven City is full of cameras. Many. According to the mediumyou could count up to eight cameras at a single intersection, and dozens more spread across the roofs of buildings, common spaces, and even the small cafeteria there. All that network of images feeds what Toyota calls the AI ​​Vision Engine, an artificial intelligence system designed to monitor, catalog and report on activity in the city. The system can identify people and follow them from camera to camera based on their clothing, without using facial recognition. They used it in a demo to detect potential thefts in a business. What Toyota says. The company says it has its own consent management system called Data Fabric, which allows residents to decide what data they share and what they don’t. “We allow Weavers to select what they want to share or not. Whether they don’t want to share anything or if they want to share everything is up to each individual,” explained John Absmeier, CTO of Woven City, told Ars Technica. The data, according to Toyota, is not sold to third parties. “At least for now,” they added in the media report. Between the lines. That 98% of the residents have accepted practically all the privacy conditions does not say as much about trust in Toyota as it does about the profile of the people who live there: they are selected technicians, who know perfectly well what they are agreeing to and who have come precisely to participate in the experiment. Kota Oishi, CEO of Woven City, recognized Japanese citizens, like Europeans, are especially sensitive to privacy and demand to know exactly what their data will be used for. The leap between this group of controlled volunteers and the implementation of similar technology in a real city with millions of ordinary people would be enormous, and questions about mass surveillance inevitable. The other big bet: a Own AI. While all this is happening on the streets, Toyota is working in parallel to not depend on the large technological giants in terms of artificial intelligence. Daisuke Toyoda, son of President Akio Toyoda and head of the Woven City project, counted on an interview in April to Automotive News that developing AI internally is key to protecting jobs and the company’s industrial knowledge. “If you only work with the biggest or best companies abroad, you run the risk of becoming a mere user,” he said. Toyota sees AI not as a tool to cut staff, but to digitize the knowledge of its best workers and raise the level of the rest. One of the most striking projects of this line is an AI clone of Akio Toyoda himself (even with his voice, his way of speaking and his philosophy) that is already used internally to train managers. And now what. Woven City is still in its infancy: only 10% built, 100 residents and many robots that “don’t do much yet,” according to counted the middle. The objective is reach 2,000 inhabitants when all phases are complete. Toyota does not expect it to be profitable in the short term; understands it as a long-term technological incubator to test its technology in more open, but controlled spaces. Cover image | toyota In Xataka | Chinese manufacturers no longer know what more innovations to incorporate into their cars, so they have added a toilet to one

More than 400 cameras will monitor L6 of the Madrid Metro so that it circulates autonomously

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Line 6 of the Madrid Metro prepares to operate without drivers in 2027. This means that its infrastructure must resolve a series of technical aspects so that the metro can circulate in complete safety. What was previously monitored by a driver must now be done in an automated manner, and here there are a series of technologies that come into play that are worth highlighting. Rethink security from scratch. When a train has a driver, there are a pair of human eyes in the cabin that detect smoke, obstacles, people on the track or any anomaly in real time. Eliminating this figure does not mean reducing surveillance, but rather it must be technologically multiplied. The Circular, the busiest line on the network with nearly 400,000 passengers daily, needs a system that does not leave any blind spots. What does the system consist of? Madrid Metro plans to install more than 400 cameras along the 23.5 kilometers of route and in its 28 stations, with an investment of around four million euros, according to collect the middle 20 Minutes. The network will cover the entire infrastructure in real time: tunnels, ventilation shafts, emergency exits, pumping areas and platforms. As the media reports, in the underground sections between stations, the devices will be placed at very short distances from each other so as not to leave gaps unattended. dset fire before seeing it. Of all these cameras, about 60 will be equipped with specific smoke and fire detection technology, capable of sending early warnings to the control center before a fire spreads. Just like share In the medium, these devices will alternate with conventional video surveillance devices to guarantee total coverage. Security reinforced with technology. At the most sensitive points of the line (the Ciudad Universitaria and Arganzuela-Planetario depots, the Laguna depot and the stations with correspondence to other lines) perimeter fences several meters high, physical barriers and infrared curtains will be installed, technology usually reserved for industrial facilities or airports. All reinforced with controlled access through doors and control points monitored by video. What about the platforms and accessibility. From 20 Minutes they assure that the doors leading down to the tracks, located at the ends of each platform, will have new intercoms connected directly to the line controllers. Its function will be twofold: to authorize access for Metro staff when necessary for maintenance tasks, and to allow people with reduced mobility to request that the train wait longer before starting. It will be the controller who, from the command post, keeps the platform doors open for as long as necessary. Where is L6 right now. The installation of the platform doors is still underway and is forcing the closing to be brought forward from the line at 11:00 p.m. from Sunday to Thursday (two and a half hours before the usual time). Everything indicates that the restriction will remain in place until the end of the year if there are no changes. Meanwhile, the 40 new trains, manufactured by CAF, which have cost the Community of Madrid around 450 million euros, are advancing in production. When will it be ready. If the calendar is met, 2027 will be the year in which the Circular circulates alone for the first time in its more than 50 years of history. This would make Madrid one of the few cities that offer fully automated metro lines, along with Copenhagen or Lille. Cover image | Metro Madrid In Xataka | In its expansion of the Cercanías, Madrid is considering something unusual in Spain: launching a new line to Villaviciosa

Razer has had a crazy idea and that is to put AI cameras in headphones. I have tried them and they have given me something to think about.

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Project Motoko. I like to think it’s a reference to Motoko Kusanagi, the protagonist of ‘Ghost in the Shell‘, but in any case, that is the name given to Razer’s new concept. Indeed, they are headphones with two cameras and artificial intelligence whose proposal is quite interesting: what if, instead of smart glassesShould we wear smart headphones? The company has taken advantage of the MWC 2026 that took place these days in Barcelona to show them and I have had the opportunity to get my hands on them at the Qualcomm stand (we will see why later). At the moment, the prototype, because that’s what it is, a prototype, has certain rough edges to iron out, but I really liked the underlying idea. Let’s go in parts. Project Motoko by Razer | Image: Xataka The background idea. As is obvious in the photos, I wear glasses. Normal glasses, although prescription ones. If I wanted to use connected glasses I would have to change my glasses and buy a frame, which is not cheap, in addition to prescription lenses. Well, like me, half of the world’s population. That is to say, smart glasses have a small penetration problem: They have to convince glasses wearers to change their glasses. They have to convince those who don’t wear glasses to wear glasses. Razer’s idea. It may be easier to convince the user to use smart headphones instead of glasses. These devices are agnostic about whether people see better or worse and, in reality, they can offer a similar and even better experience in certain aspects, because being larger they can offer more autonomy and power. Currently, the Meta Ray-Ban 2 They move in the eight-hour range, for example. This is what the Project Motoko prototype looks like | Image: Xataka The trade-off, of course, is wearing big headphones all day. They are less concealed and you are not going to wear them at important moments in your life (or yes, we listen but we do not judge). Be that as it may, the glasses have an advantage there, but that does not make Razer’s proposal make any less sense and may even have a fit not in gaming or in everyday life, but in terms of accessibility. What is this about?. Project Motoko are over-ear headphones (quite comfortable, I must add) with two 12-megapixel wide-angle cameras at eye level, one on each side, and several far- and near-field microphones. It’s like having a pair of eyes connected to AI that see what we see. The experience will obviously vary depending on whether we are paid or free users of chatbots. Instead of using proprietary AI, the device can connect to all platforms, namely Grok, ChatGPT, Google Gemini, and even Perplexity. Part of the process is done in the cloud, but thanks to an undetermined (for now) Qualcomm chip, there will also be local processing capabilities for certain commands. The cameras are at eye level | Image: Xataka The operation is simple. You look at something, say a restaurant menu; You ask the AI ​​something out loud and it answers you. During the demo we asked the headset if an ingredient on a table was suitable for lactose intolerant people, and even what we could make with the objects in our inventory in ‘Minecraft’, and it responded without problems. It also recognized buildings, places and text, translating a Japanese menu and giving us recommendations based on our preferences. The prototype is still missing, but it works, it works. Razer is still ironing out some connectivity and interaction issues, but the company is positive that they will release it at some point. They are not clear when, but the product is moving in the right direction, as explained by Razer. Detail of the position of the camera and microphones | Image: Xataka The rough edges. The demo had some flaws, such as the headphones were not capable of recording live video and did not capture the image if we did not ask them to, let me explain. To generate a recipe with the ingredients on a table, you had to expressly tell it to take a photo and then the command. That is not natural language. It is not natural to say “take a photo and tell me yes”, but a normal interaction would be “hey, what can I do with this?” The idea is that we invoke the AI ​​using a button located on the headphones, so it would make sense that, in a final product, when you press that button the headphones begin to record the live image. Not a static one, but a video feed like Gemini Live does. And in that sense, the warning for third parties that they are being recorded with the headphones is not defined at the moment either. A white light turns on in Meta’s glasses when you record, for example. In any case, it doesn’t seem like something that can’t be fixed via software for a final product. The release date is not confirmed, nor is the price. Project Motoko | Image: Xataka Maybe the chicha is not in everyday life. Although it is tempting to think of a companion product for everyday use, especially if you work with headphones or usually wear them on the street (not my case), where I think Project Motoko could have a huge impact is in two areas: video generation to train humanoid robots and accessibility. On the one hand, headphones capture what we see (more, in fact, as they have a greater field of vision), so by recording how a manual industrial process is carried out, the necessary resources could be generated to train machine learning algorithms focused on robots. After all, an AI learns by watching the same action thousands, millions of times, but for that to be possible it has to have videos, many very specific videos which, of course, are not abundant. On the other hand, people with vision problems have a powerful ally in … Read more

Xiaomi’s high-end is back on sale with a bang. A powerful mobile with 1 TB and Leica cameras

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Until next January 23, MediaMarkt will have its campaign active Downhill. Among all the offers there are some that have caught our attention, such as the Google Pixel 10 Pro or, in this case, that of Xiaomi 15T Pro of 1 TB, which has dropped in price to 799 euros in what is one of the best offers that the store has launched on this mobile to date. Other stores like amazon either PcComponents They have also lowered the mobile phone to the same price. The price could vary. We earn commission from these links A mobile with 1 TB He Xiaomi 15T Pro It is a high-end mobile from the brand that stands out both for what it offers at the hardware level and for the price, especially if we take this offer into account. At the design level it does not differ much from the previous generation, but it does. It comes with a different technical sheet, and quite good. It features a large 6.83-inch screen that offers both 1.5K resolution and a 144 Hz refresh rate. It is compatible with Dolby Vision and HDR10+ and inside we find the MediaTek Dimensity 9400+ processor along with 12 GB of RAM and 1 TB of internal storage. Its 5,500 mAh battery supports 90W fast charging and 50W wireless charging, its speakers are compatible with Dolby Atmos and its camera module, in addition to having the Leica collaborationis made up of a 50 MP main sensor, a 50 MP telephoto lens and a 12 MP ultra wide angle lens. You may also be interested XIAOMI Watch S4, Bluetooth Version, Advanced Professional Sports Mode, Quick Change 2.0 Bezel, 1.43 Inch Circular AMOLED Screen, Heart Rate and Sleep Monitor, Black The price could vary. We earn commission from these links XIAOMI OpenWear Stereo Pro, Open Ear Headphones, Bluetooth with Hook, Comfortable and Stable Use, 45h Battery, IP54 Water Resistant, Multiple Drivers, Hi-Res HiFi Audio, Titanium Gray The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Xiaomi In Xataka | The best mobile phones, we have tested them and here are their analyzes In Xataka | The best Xiaomi mobile in quality price: purchasing and comparison guide

to what extent will we accept that AI cameras fine us

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Spain has begun to automate the surveillance of minor infractions with AI: Technology stops optimizing traffic and starts monitoring it. Why is it important. This marks a paradigm shift. Until now, urban AI was used to improve mobility (adjust traffic lights, predict traffic jams, reduce emissions). Now he goes from assistant to inspector. And it does so with a key nuance: it does not pursue major crimes or flagrant dangers, but rather small daily infractions that previously escaped control due to cost and surveillance capacity. AI reduces the marginal cost of sanctioning to practically zero. Once deployed, everyone can be observed all the time. The facts. The Barcelona pilot test involved four buses of lines H12 and D20 equipped with cameras that identify, through AI, vehicles blocking reserved lanes. In Madrid, the City Council has installed smart traffic lights that count pedestrians in real time and has announced systems that will detect seat belt use. The DGT has taken another step. It has deployed four cameras on the A-1, A-2, A-6 and A-42 highways that monitor the crossing of continuous lines. The system works with two cameras per section: one records the license plates at the beginning, another at the end. If a car changes lanes between both points, the fine is automatic. It is 200 euros per violation. In figures. Spain already has 3,395 devices to control violationsaccording to Faconauto. Of them, more than 1,300 are DGT surveillance points between fixed and mobile radars. Added to this are more than 200 cameras that monitor belts and mobile phones, Pegasus helicopters and now these new continuous line detection systems. Barcelona has not yet activated the sanctions on its buses, but the volume of violations detected (80 daily in just four vehicles) anticipates what is coming. Between the lines. There is a delicate balance that is being renegotiated without us having barely opened the debate. On the one hand, more compliance with fewer agents: administrative efficiency is indisputable. On the other, the sensation of an omnipresent eye. The difference with the classic radar is not so much technical as range. The radar monitors specific points where there is proven risk. These new systems turn the entire city into a guarded zone: each bus is an inspector, each intersection a control point. AI does not change what is sanctioned, it changes where and how much. Move from selective surveillance to ubiquitous surveillance. Yes, but. To what extent will citizens accept being recorded and punished by a machine? It’s not just a legal issue, but a cultural one: trust in the algorithm versus human interpretation. Who audits the system’s decisions? What room is there for error or appeal? Technology is not neutral: each deployment reflects political priorities about what deserves to be monitored and sanctioned. The big question. What is relevant is not whether this is good or bad in the abstract, but what it tells us about the new contract between citizen, city and AI. AI stops being an abstraction and enters the daily urban experience. The citizen goes from user to observed subject. And the unresolved question is who sees, who decides, who corrects and, above all, how far we are willing to go when automating the chase is so easy and cheap. In Xataka | The “made in China” business of the DGT’s V-16 beacons: homologating the same product 24 times and selling it under different brands Featured image | Barcelona City Council

Barcelona is tired of cars not respecting the bus lane. So it’s installing AI cameras on its buses

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2,500 violations in one month. That is, Barcelona City Council could have fined more than 80 drivers every day. It has not done so because, at the moment, the project is in the testing phase, but it has served the City Council to confirm its suspicions: the invasion of the city’s bus lanes is a constant and a real problem. To confirm this, Barcelona City Council has launched a pilot test equipping four buses with cameras enhanced with artificial intelligence. They are units of lines H12, which crosses the city on Gran Via de les Corts Catalanes, and D20, which in this case covers the entire route of Avinguda del Paral-lel and a nearby section around the port. The project was already presented last February but it wasn’t until summer when we knew all the results. Four buses and 2,500 violations The data published suggests that something is not working in the Catalan city. They collect in Hybrids and Electrics that just four units collected more than 2,500 violations in just one month. These infractions have not been sanctioned because, as we said, it was a pilot project that will serve to define new strategies and look for solutions. The truth is that it is obvious that the Barcelona transport company has to deal daily with all types of vehicles that illegally occupy a space that should serve to prioritize the passage of public transport. To record these infractions, the cameras recorded the movement and position of the vehicles as the bus moved forward. They specified in the presentation of the project that cameras have not been used in the study to identify people or license plates. The software, they say, only counted if there was an object blocking the road and is capable of discerning illegal occupations, such as a parking lot, from those permitted (taxis, right turns…). With the data they want to propose solutions among which, of course, the possibility of turning buses into real moving radars has not been mentioned. Although buses have highlighted the problem, the truth is that Barcelona already has the so-called “multacar”cars with cameras that record violations of the bus lane and that, these do, issue penalties with the violations found in their path. And the city council also has similar vehicles that They control regulated parking areasinstantly checking if a car has exceeded the allowed time and, in that case, fining it. The big difference is that installing this system on the buses themselves would allow the fleet to become an exercise in constant surveillance throughout the service. And taking into account the data recorded, the volume of sanctions would be expected to be very high in that case. Photo | TMB In Xataka | FlixBus wants to operate international bus lines in Spain. He has encountered two enemies: Alsa and Avanza

We believed that the iPhone 17 and the Air shone by cameras and design. We have just discovered that they hide an exclusive security function

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For a long time we have lived with the illusion that there are impenetrable computer systems. The reality is less resounding: in security, everything is reduced to how much effort, time and resources it requires to force a lock. Just as it is not the same to open the door of the house as the vault of a bank, in the digital world There are more or less resistant barriers and unexpected shortcuts that avoid brute force. The objective of the defense is not perfection, but to raise the toll to break it is impracticable. From there, the risk never disappears, it is managed. With that practical look, Apple has been adding layers to make every step of the attacker more and reduce its maneuvering margin. According to the Cupertino companythe most sophisticated exploitation chains that have observed against iOS come from the mercenary spyware and rely on memory vulnerabilities. Although they do not explicitly mention it, they surely refer to threats such as Pegasus of the company NSO. And the answer they have raised is a new piece in that wall: a reinforcement that integrates hardware and system to monitor the integrity of memory and cut overwhelms or undue accesses before they thrive. Memory Integrity Enforcement on iPhone 17 and iPhone Air Apple has presented Memory Integrity Enforcement (Mie) as part of the new iPhone 17, iPhone 17 Pro and Pro Max and iPhone Airan integrated memory defense directly in its hardware and operating system. This development is the result of five years of joint work among their teams of Chips and Software Engineeringwith the aim of drastically raising the cost and complexity of attacks based on memory corruption. Mie promises to act continuously and transparently, covering critical areas such as kernel and more than 70 processes in user space, all this without compromising energy consumption and device performance. The Miene nucleus combines several layers that work in a coordinated manner to reinforce security. The typated memory assigners are systems that organize the data according to their type, as if each object class had a specific drawer. This organization makes it more difficult than an error in a program allows one data to overwrite another. If a failure occurs, the system can detect it before it becomes an attack. On this basis acts the Enhanced Memory Tagging Extension (EMTE), a hardware technology that adds an extra layer of memory control. Emte works by assigning a “secret label” to each memory block. Every time an app or the system wants to access it, you must present the correct label; If it does not coincide, Hardware blocks attempt And the system can close the process. This permanent and synchronized check allows to detect and stop classic attacks such as buffer overflows or use after release (USE-AFTER-FREE), which are usual techniques to take control of a device. The allocators protect the use of large -scale memory, while EMTE provides precision to the smallest blocks, where the software itself does not respond with the same effectiveness. This permanent and synchronized check allows to detect and stop classic attacks such as buffer overflows The bet responds to a landscape of threats where the highest levels against iOS are faces, complex and directed, historically associated with state actors. These chains usually share a common denominator: they exploit interchangeable memory vulnerabilities that have been present throughout the industry. The intention of Mie is cutting the progression in early stages, when the attacker still has little room and depends on chaining multiple fragile steps to gain control. Apple graph showing real exploitation chains and the points where it blocks them The scope of protection includes kernel and extends to key system processes that are usually entry objectives. In addition, Apple makes available to developers the possibility of testing and integrating these defenses through the Enhanced Security option in Xcode, including EMTE capabilities in compatible hardware. That is especially relevant to applications where a user can be direct objective, as messaging or social networkswhich often appear at the beginning of the exploitation chains. To sustain the labeling and synchronous check -up without perceptible impact, Apple redesigned the A19 and A19 Pro allocating CPU area, CPU speed and memory for label storage. The company precisely modeled where and how to deploy emte, so that the hardware meets the demand for checks. The software, on the other hand, takes advantage of the assignments typated to raise the bar of protection against memory corruption, while the hardware assumes fine verification. As we point out above, this should maintain the expected experience in performance and autonomy. The project was evaluated with its offensive research team from 2020 to 2025. First with conceptual exercises, then with practical attacks in simulated environments and, finally, on hardware prototypes. This prolonged collaboration allowed to identify and close complete exploitation strategies Before launch. According to Apple, even trying to rebuild known real chains, they failed to restore them reliably against Mie, because too many steps were neutralized at the base. Even so, Apple remembers that perfect security does not exist. Very rare cases could survive, such as certain overflows within the same allocation. For previous generations without EMTE support, the company promises to continue expanding software -based improvements and safe memory allocatives, with the aim of bringing part of these benefits to previous devices without affecting its stability. Ultimately, Mie does not eliminate riskbut it does redraw the rules of the game by raising the cost and difficulty of memory corruption techniques. For those who buy an iPhone 17 or an iPhone Air, this translates into always active protection and, according to Apple, invisible for the user. Images | Xataka with Gemini 2.5 In Xataka | Or pay or we will use your works to train AI: the threat of hackers to an artist website In Xataka | How to change all our passwords according to three cybersecurity experts

I’ve been using Yi security cameras for years. It was delighted until the app became an advertising hell

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More than five years ago I bought my first Security Chamber To monitor my cat when he got sick. It was YI brand and it worked great; He looked good, had movement alerts and could speak through the mic. With the passage of time I had more cats and I bought two more cameras of the same brand to cover the rest of the house. The problem is that The APP Yi Home has added advertising in its app. How much? All. It is not an exaggeration I was traveling recently and I entered Yi Home’s app to look through the cameras. I don’t lie if I say that More than once I have made me want to launch the mobile. On the main screen there are already a few ads spread there, but that is not the worst. Some of the ads that appear when I open the app or when I try to see one of the cameras. The worst are the Full screen ads. They cannot be skipped until they pass a few seconds, the button to close them is tiny and sometimes it does not work, causing it to end in the App Store, or wherever the announcement in question link. So every time I open the app. But the thing is not there, when entering each camera, advertisements also leave full screen. When you finally manage to see a camera, a banner comes out that covers the controls to be able to move it *Chef’s Kiss*. Few apps I remember that they have bombarded me both with advertising and Yi Home, although it is not the only one. A current example is Capcut, the Tiktok videos editing app. Every time I open the app, I get a full screen advertisement, but it is also that if you leave a moment and enter again, another appears. Not to mention that The entire app is a mines field with ‘Pro’ functions And they don’t stop insisting to join. Pay or suffer Yi Home has never been a super clean app. I already had some Banner type ads and has always shown me pop-ups to join the payment plan. The thing now has no name. In addition to full-screen advertising, those pop-ups continue to come out and remind me that, If I pay, advertising will disappear. On top with picn. The summum of despair. (The controls can be relocated, but was there no other place?) The cheapest payment plan if you have several cameras costs 79.99 euros a year. It seems expensive, but I think that although it would cost a tenth, I wouldn’t pay either. The thing about this app is A manual of how to lose customers. At least I know I am not the only user discontent, In Tustpilot is full of negative reviews on the same subject and in This Reddit thread There are also several angry users. In the same thread they also comment on several ways to eliminate ads such as installing previous versions of the app or configure a DNS with Ad-Block. In my case I take another way to eliminate ads. I change my chambers I had been wanting to buy a while Another 360 camera And obviously I was not going to buy another of the same brand with the problems I was having with advertising in the app. One of those days when I almost crashed my mobile, gave me to get into Amazon to see other cameras and make the decision. TP Link Tapo C210 After reading a few reviews and making sure that his app did not seem like an online casino, I opted for the Top-Link tapo. I found a Offer pack with two cameras 360 And I bought it. When I set them up, some notifications came out within the app to go to the Premium version, but I have been using it for a week and they have not reappeared. Come on, what was Yi Home’s app a long ago and that It should be normal in an app of a security camera. Images | Amparo Babyloni, Xataka In Xataka | It is not you, YouTube is filling with more and more ads. Especially if you see it on a smart TV

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