In the previous article, we introduced the respective advantages of structured light and ToF camera, including the comparison of depth accuracy, sensitivity, etc. The difference between these two schemes may cause the application fields of the two to be different, and there is no such thing as mutual substitution relationship. There are also some application areas where both can be used.
The advantage of the ToF chip is that the depth information can still complete traditional applications such as segmentation, marking, recognition, and tracking of target images. After further processing, it can complete applications such as 3D modeling, and can quickly complete target recognition and tracking.
From the use of the ToF camera in the robot vacuum, it can be seen that the efficient cooperation between the TOF camera and the high-precision sensor can quickly realize the distance measurement and obstacle avoidance of obstacles.
In contrast, structured light technology is more suitable for static scenes. The tof sensor solution has lower noise and higher FPS at long distances, so it is more suitable for dynamic scenes.
In machine vision and industrial measurement, the first thing to understand is the detection task, whether it is a static photo or a dynamic photo, how often the photo is taken, whether it is for defect detection or size measurement or positioning, and what is the size of the product (shooting field of view)
With the popularity of machine vision, autonomous driving, and robots, the use of 3D depth cameras to collect depth information of the environment, and then to perform object recognition, environment modeling and other applications is becoming more and more common.
Depth camera DMOM2501A launched by DOMI is mainly aimed at industries such as robotics, security, AR/VR, sensorless intelligent access control, machine vision, Internet of Things, and intelligent transportation (passenger flow statistics).
With the application of ToF cameras in industries, drones and other fields, the stability consideration caused by interference becomes more and more important. On the consumer side, with the increase of various applications, the interference between devices will also be a real and practical problem.
Image sensors are gradually developing from 2D to 3D. The introduction of depth information makes the scalability of applications such as smartphones, automobiles, and AR become higher and higher. Moving from 2D to 3D is a major trend in the development of sensors in the future.
Many machine vision applications require high-resolution 3D depth camera to replace or augment standard 2D map imaging. Such solutions rely on 3D depth camera to provide reliable depth information for safety, especially when machines work in close proximity to people.3D depth camera also need to provide reliable depth information when working in challenging environments, such as those with moving objects.
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