ToF sensor for obstacle avoidance

Compared with the other two solutions of 3D depth vision, the advantages of the current ToF sensor solution in practical applications make the market optimistic about the greater opportunity of ToF sensor 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 sensor ranging has a large scale, and in most cases, it is only necessary to change the intensity of the light source, Optical field of view and transmitter pulse frequency to complete.
In addition, due to the tof sensor multiple advantages of being less susceptible to external light interference, small size, fast response speed, and high recognition accuracy, ToF sensor 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 sensors 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 people, machines, and machine movements, and respond quickly to avoid injury to equipment and staff. If it is solved by lidar, the cost will be higher, and the dual-camera solution requires a lot of calculations and the adjustment of the precise position of the dual-camera, and the ToF sensor has become the most cost-effective choice to solve the above problems.

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