ToF camera applied to robot’s autonomous obstacle avoidance solution

Compared with the other two solutions of 3D depth vision, the advantages of the current ToF camera solution in practical applications make the market optimistic about the greater opportunity of ToF in the rapid growth channel. For example: post-processing is not required when calculating the depth of field after the picture is taken, which can avoid delays and save the related costs caused by the use of a powerful post-processing system; ToF ranging has a large scale, and in most cases, it is only necessary to change the intensity of the light source, The optical field of view as well as the transmitter pulse frequency can be done.
In addition, due to its multiple advantages of being less susceptible to external light interference, small size, fast response speed and high recognition accuracy, ToF has increasingly become the preferred technical solution for 3D vision in both mobile and vehicle applications.
The autonomous obstacle avoidance of various robots in automated factories will be an area where ToF can be quickly applied. With the increasing popularity of robotics applications in industrial environments, when robots are in a crowded work environment, they must be able to identify human and machine and machine movements, and respond quickly to avoid equipment and staff injury. ToF camera has become the most cost-effective choice to solve the above problems.

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