Major Problems in Robot Vision System Design

The robot vision system has undergone three generations of development. The function of the first-generation robot vision system is generally to process the image according to the prescribed process and output the result. This system is generally made of ordinary digital circuits and is mainly used for defect detection of flat materials.

The second-generation robot vision system generally consists of a computer, an image input device and result output hardware. The visual information flows serially in the machine, and has certain learning ability to adapt to various new situations.

The third generation robot vision system is a system currently being developed and used internationally. Adopting high-speed image processing chip and parallel algorithm, it has high intelligence and common adaptability, and can simulate human's high visual function.

Artificial intelligence technology

Major problems with robot vision

1. How to identify targets accurately and at high speed (in real time).

2. How to effectively construct and organize a reliable identification algorithm and implement it smoothly. This is looking forward to new breakthroughs in high-speed array processing units and algorithms (such as neural network methods, wavelet transforms and other algorithms), so that functions can be implemented in parallel with a very small amount of computation.