Digital video analytics have compelling urban planning, manufacturing, and agriculture applications. Why? Because it can reveal insights hidden in plain sight. Learn more here: paid HPE
he application of artificial intelligence to digital video is unlocking previously unseen insights, revealing new ways organizations can improve safety and boost productivity. This novel pairing — of electronic eyes with algorithmic brains — has formed the basis of video analytics, an outgrowth of AI that can work tirelessly in complex cities, agrarian communities and factories.
Video analytics is versatile enough to detect tiny manufacturing flaws or dangerous chemical leaks before either causes harm. Underpinned by deep-learning algorithms that get smarter with experience, video analytics can refine processes automatically, improving outcomes without human intervention. Put another way, it can reveal insights hidden in plain sight, and the machines capable of crunching image data are becoming increasingly common.between 2016 and 2018, and they’ll continue to climb in the years ahead. When coupled with edge computing, which can analyze data at the collection point rather than the data center, organizations can deploy video analytics quickly without the need for an infrastructure overhaul. The wide applicability of video analytics is demonstrated, perhaps unexpectedly, by its use in the art world. Generative adversarial networks, a type of AI, have evolved to the point thatthat are altogether new or evocative of a well-known master. When applied to manufacturing, smart cities and agriculture, video analytics demonstrates the broad, transformative power of this technology — to improve how we work and live by making us safer and more productive.in areas like low-light sensitivity. With video intelligence, manufacturers can improve and enhance processes in real time. Video analytics on the manufacturing floor combines the best of time-and-motion study and safety supervision, without needing to wait long for reports or results. Video analytics allows manufacturers to change and verify configurations more quickly than human labor alone. With vision-aided automated assembly, manufacturers can perform more customization and shorten assembly runs. By having eyes in the sky, on the conveyor belt, in parts bins and on the assembly floor, organizations can see not only which elements of a process are falling out of sync but also how changes could cascade and cause disruption. Video recognition can identify if parts are being delivered to the wrong locations and if defects are not being eliminated early enough. Improving worker safety ranked high among the reasons a petrochemical processing and manufacturing company outfitted a refinery with video analytics and other technologies associated with the industrial internet of things. The, for example, can monitor fluid levels, reducing the risk of dangerous spills. In the event of an emergency at the U.S. refinery, it can help protect workers by tracking their precise locations. In the short term, video insights can help managers reroute people or parts to untangle a knotted assembly line. Over the longer term, optimization insights can help factory leadership revise processes and retrain workers to create a smoother flow of raw materials and products. Cameras mounted around the manufacturing floor unobtrusively monitor parts as they flow throughout the assembly process. One camera observes that parts are hitting rollers with greater force than expected. Video analysis reveals that the problem went unreported by workers because the parts traveling the line were undamaged. A manager investigates the situation and finds that the stiff landing causes excessive wear on roller bearings, which could lead to failure and disruption. The bearings are replaced and the assembly process is altered. Employees benefit from a workplace that is safer, more consistent and more predictable, and customers benefit from fewer manufacturing disruptions. When components are manufactured with higher quality and fewer are damaged or misrouted in the manufacturing process, customers receive more reliable deliveries.Video analytics in drones and towers, in streetlights and at curbside, can work in concert to make our cities more efficient and enjoyable while safeguarding the privacy of citizens. It can give city planners and policymakers an understanding of service quality and stability that would take a survey team weeks or longer to prepare. By examining city streets from fixed cameras, such as those perched on streetlights or mounted to public vehicles, video analytics can spot potholes in the making and dial up repair teams before they become dangerous. It can also spot places the garbage truck or street sweeper may have missed. Drones can use visible spectrum and infrared imaging to monitor rooftops for damaged wiring, plumbing and HVAC equipment, and identify both air and water leaks in need of attention. Video analytics can also affect safety by continuously evaluating how pedestrians and multiple types of vehicles share the road. Urban roads today are a much more mixed-use environment than just a few decades ago, with large ride-sharing fleets and an influx of cyclists changing traffic and parking patterns. Bicycleevery year and cost over $24 billion. Simply watching for better ways to design car-bicycle interactions could lead to dramatic safety improvements. And to protect citizen privacy, edge computing can process only relevant information, such as a snapshot of a public asset in need of repair. Data with no actionable items can be deleted in the field instead of being reporting to a data center. Public safety vehicles equipped with cameras record images of road conditions. A vehicle camera reveals a badly broken section of pavement and a pothole from a recent freeze/thaw weather cycle. Video analytics determine that the pothole is a significant hazard to pedestrian, bicycle and automobile traffic. Instead of waiting for a citizen complaint or an accident report, a dispatcher assigns a repair crew to the hazard identified by video analytics. Repairs are made without delay. Citizens benefit from aware, proactive city management that continually monitors the quality and safety of services and takes prompt action based on all available data.
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