Industrial smart cameras are a key component in machine vision systems. Their essential function is to transform optical signals into ordered electrical signals. Choosing the right camera is also an important part of the design of machine vision system. Industrial intelligent camera not only directly determines the image resolution and image quality, but also directly relates to the operation mode of the whole system


The "smart" of industrial smart cameras embodies the trend of the latest camera technology, not only can take a lot of photos, but also extract information about specific applications. These smart cameras integrate with PC and smartphone applications. Smart cameras share pictures and videos directly on a variety of photo sharing portals and social media platforms.

These cameras are primarily used for monitoring and monitoring in industrial, home and other vertical areas. In the real world, various applications of smart cameras such as industrial machine vision and video surveillance. Industrial machine vision is probably the most popular application for smart cameras.

Industrial smart cameras have enormous hardware capabilities for fast processing that have been successfully integrated into various manufacturing areas. With the help of intelligent vision cameras, various industrial processes such as verification, part sorting, quality assurance, visual sensor network, reading code, intrusion detection and traffic monitoring are currently underway. Based on the visual information collected by the smart camera, the intelligent monitoring system can monitor the traffic situation and pay more attention to the traffic incidents that cause the accident.

The diversified application of industrial smart cameras in security surveillance and the tremendous technological advances in improving quality imaging are the main factors driving the global smartphone market. Consumer demand for digital cameras with similar smartphone capabilities is expected to increase the demand for smart cameras. In addition, the transformation of embedded system design, smart lenses and image sensors is also expected to drive market growth. The government’s regulation of establishing safety and surveillance systems in public places has also driven the development of the global smart camera market.

Different types of smart cameras are required for each application. While high-volume production of security cameras may require low-cost imagers, processors, memory, and wireless interfaces, cameras developed for industrial machine vision applications require additional functionality. For those who want to deploy smart cameras for industrial applications, there are a range of smart camera products on the market that include different types of image sensors, CPU, DSP, FPGA, I/O, software, and internal and External lighting function.

Multiprocessor architectures are very useful in providing the image processing throughput required for machine vision applications because this architecture can distribute visual tasks between different processors. In space-constrained industrial process monitoring, the use of a large number of cameras connected to PC-based machine vision systems is not a viable option. In this case, using a smart camera that includes camera and PC capabilities, system integrators can provide options for local pass/fail determination, I/O part culling, and networking management capabilities while reducing system footprint. space.

How do you think of smart camera now? The "skills" of industrial smart cameras is not bad! If you want to know more, please pay attention to us.