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10 Ways Computer Vision is Used in Smart Cities in 2022


Smart cities use a mix of low-power sensors, cameras, and AI algorithms to continuously monitor the city's efficiency. Governments benefit greatly from the use of computer vision and other related technologies. These technologies allow city administrators to easily integrate and manage assets. As the'eyes' of the city, computer vision plays an important role in smart city management. Greater urban density usually means more automobiles, which means more traffic congestion, longer travel times, accidents, local air pollution, and carbon emissions – not to mention a general sensation of exhaustion, tension, and anxiety.

The Smart Road Tech That's Making Driving Faster, Safer, And Just Better


From autonomous cars to flying taxis to electric-powered aircraft, technological innovations in transportation vehicles seem to be moving faster than Elon Musk's express loop underneath Chicago. But when it comes to regular roads and traffic systems, we still seem to be stuck in the far right lane. The US has the worst traffic on the planet, with Los Angeles drivers leading the race to nowhere by spending an average of 102 hours per year in traffic jams. In 2014, the country spent $165 billion on highway construction, operation, and maintenance, according to the Congressional Budget Office. That can buy a lot of asphalt and concrete, but what else?

Building Smart Cities: The Role of Artificial Intelligence & Machine Learning - Deeplobe


Smart cities are a new-age revolution to maximize the utilization of technology, optimize the consumption of natural resources, and human capital to fuel sustainable economic growth and participatory governance. Smart cities are mostly employed across highly populated urban areas in major countries. For instance, these cities adopt a combination of cameras, sensors, and artificial intelligence to ensure constant monitoring along with their smooth and efficient working. This results in the emergence and adoption of smart business models and smart enterprises that depend on advanced technologies like artificial intelligence(AI), machine learning, computer vision, web technologies, telecommunications, etc. Markets and Markets expect that the market for global smart cities will grow from USD 410.8 billion in 2020 to USD 820.7 billion by 2025.

How AR, Computer Vision And AI Coalesce For Smart City Cleaning


Rather unsurprisingly, urban jungles generate much more waste than towns and villages. As smart cities are on the extreme end of the urbanization spectrum, the waste generated in such places is expectedly huge. Generally speaking, global waste is expected to increase by about 3.40 billion tonnes by 2050. If not managed well, this accumulated waste can have disastrous implications for public health and the environment. Smart cities have the technological means with which waste management can be simplified and made more effective.

How Computer Vision Can Create Smart Transportation Systems


Bustling cities need the requisite transportation networks that can keep them running smoothly. AI and computer vision-powered smart transportation enables smart cities to achieve that objective with ease. There are three attributes that every smart city--or any place of human settlement for that matter--must possess in abundance--livability, workability and sustainability. The frameworks and amenities which allow inhabitants to live comfortable, clean, healthy and safe lives boost the livability quotient of a smart city. Additionally, the communication and mobility networks that make it easier for inhabitants to commute to and from work, expand employment avenues and simplify business creation and growth improve the workability aspect of such cities.