AIoT City Surveillance

"AIoT (Artificial Intelligence of Things) City Surveillance."

Imagine a world where cameras, sensors, and smart devices work together seamlessly, constantly monitoring and analyzing the environment in real-time. These interconnected systems, powered by AI algorithms, possess the ability to detect anomalies, recognize faces, and even predict potential security breaches.

The convergence of AI and IoT has given birth to a new era of surveillance, one that is smarter, more efficient, and more responsive than ever before. AIoT video surveillance systems bring a plethora of benefits to the table. Enhanced security is at the forefront, as these systems provide real-time monitoring, intelligent analytics, and rapid response capabilities. By automatically analyzing vast amounts of video footage, they alleviate the burden on human operators, enabling them to focus on critical tasks while the system detects and flags potential threats.

Offering a great combination of Video Analytics, AI (Artificial Intelligence) and IoT (Internet of things). This solution will deliver highly-accurate data easy to use, future proof, and integrate seamlessly with various video management systems and provide valuable insights like parking occupancy, people counting, and vehicle classifications to drive many different applications beyond video surveillance.

Artificial Intelligence

Artificial Intelligence (AI) describes the simulation of human intelligence in machines that are conditioned to think and learn like humans. It is a multidisciplinary discipline that mixes computer science, mathematics, psychology, and other areas to develop intelligent systems. According to Next Move Strategy Consulting, the market for artificial intelligence (AI) is expected to show strong growth in the coming decade. Its value of nearly 100 billion U.S. dollars is expected to grow twentyfold by 2030, up to nearly two trillion U.S. dollars.

Internet of Things

The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the Internet, all collecting and sharing data. Thanks to the arrival of super-cheap computer chips and the ubiquity of wireless networks, it's possible to turn anything, from something as small as a pill to something as big as an airplane, into a part of the IoT. Connecting up all these different objects and adding sensors to them adds a level of digital intelligence to devices that would be otherwise dumb, enabling them to communicate real-time data without involving a human being. 

City Surveillance

More and more people are moving into cities. According to the United Nations, the worldwide urban population has increased 59% in 2020. With more and more people gathering in cities, increasing security is of paramount importance. Therefore, city surveillance for public safety is a continuously growing challenge in modern society. 

Extremely reliable and accurate object detection and classification based on deep learning

Bosch Cameras

Advanced AI offers the same deep learning as Bosch intellectual property developed for automotive applications. It uses artificial neural networks that: Mimic the human brain to learn from large amounts of data and Recognize patterns to tackle more complex tasks faster, easier, and more accurately. So you stay one step ahead with the Power to Predict.

Bosch's latest innovation based on deep neural network video analytics is Traffic Detector. It supports predictive solutions for traffic monitoring and people counting applications. Data collected from the software provide actionable insights for improving the efficient use of roadways and the safety of people and vehicles in tunnels and on highways. Robust algorithms are trained to ignore potential disruptions caused by vehicle headlights or shadows, extreme weather, and sun reflections. The Traffic Detector software delivers accuracy levels beyond 95 percent

Traffic Detector is trained using high-quality, real-life data from the field, enabling it to recognize patterns to tackle more complex tasks faster, easier, and more accurately.

Video Surveillance Market

Video Surveillance Market Size was valued at USD 45.9 billion in 2021. The Video Surveillance Market industry is projected to grow from USD 51.2 Billion in 2022 to USD 110.2 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 11.6% during the forecast period (2022 - 2030). Smart cities are becoming more popular, and demand for biometric applications, video management, and the Internet of Things is also rising are the key market drivers enhancing the market growth.

Video Analytics Market

The video Content Analytics Market Size was valued at USD 5.2 Billion in 2022. The Video Content Analytics market industry is projected to grow from USD 6.6 Billion in 2023 to USD 27.8 Billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.91% during the forecast period (2023-2030). Increasing demand for video surveillance, advancements in AI and machine learning, the growth of IoT, the need for better customer experiences, and cost savings and operational efficiency are the factors driving the growth of this market.