With the complexity and variety of machine vision application scenarios, its integration with deep learning algorithms, 3D application technologies, interconnection standards and other technologies is becoming more and more close.

Deep learning algorithm: The deep learning algorithm simulates the hierarchical structure similar to the human brain, and establishes a mapping from low-level signals to high-level semantics through deep neural networks to achieve hierarchical feature expression of data. The deep learning algorithm is introduced into the machine vision image processing system for appearance detection, which makes the recognition process more intelligent and the visual information processing ability more powerful.

3D application technology: With the continuous deepening of 3D application technology, more and more 3D reconstruction technologies are introduced into machine vision, such as structured light, DFF, TOF, stereo vision, photometric stereo method, etc. The algorithm of 3D image processing and analysis has also been studied more and more widely, and will become a mainstream development direction of machine vision.

Interconnection standard: It is necessary to interconnect the machine vision system, with intelligent manufacturing equipment, and with the management system of the enterprise, so that equipment and manufacturing management can develop in a smarter direction. At present, the vision industry, including EMVA, AIA, CMVA, JIIA, etc., has cooperated to formulate the GenICam standard. AIA has developed GigE Vision, USB3 Vision and other camera communication protocols. The visual industry also cooperates with other industry associations to continuously expand the extension of interconnection, aiming to promote the interconnection between visual systems and other industries.