Combination of 3D depth camera and 3D printer technology can make data real and bring convenience to scientific research, data analysis, and our life. It is to scan the spatial shape, structure and color of the object to obtain the spatial coordinates of the object surface. Its significance lies in the ability to convert the three-dimensional information of the object into data that the computer can directly process.
With the gradual development of machine vision, automatic driving and other technologies, there are more and more applications related to object recognition, behavior recognition, and scene modeling using tof cameras. It can be said that tof cameras are the eyes of terminals and robots.
ToF camera technology enables machines to go beyond simple 2D images and explore the third dimension, enabling depth perception and better object recognition. Compared to other 3D machine vision techniques, ToF is faster, and its ability to generate real-time depth information means a wide variety of applications. These include:
ToF sensor solution has good privacy protection capability and is an ideal choice for passenger flow statistics applications.
What are the application scenarios of ToF depth camera? Due to the wide range of applications of ToF depth cameras, we focus on several specific application scenarios, such as the following scenarios:
ToF sensor is used in the single-piece separation system, which can automatically separate, pull the distance and intelligently queue the mixed packages before the packages enter various automated sorting lines, so that the messy packages can be turned into single pieces according to the specified distance.
ToF technology has the advantages of simple principle, strong anti-interference ability, high imaging accu racy, good portability and easy integration. At present, it has a wide range of applications in many fields such as intelligent monitoring, auto-driving, UAV obstacle avoidance, 3D scene reconstruction, and virtual and augmented reality.
Distance measurement and object detection play an important role in many fields, including factory automation, robotics applications, and logistics. Especially in the field of security applications, there is a need to detect and respond to objects or people at specific distances. For example, a robotic arm may need to stop operating as soon as a worker enters a hazardous area.
ToF sensor emits modulated near-infrared light, which is reflected after encountering an object, and then obtains the distance of the captured scene by calculating the time difference or phase difference between light emission and reflection to generate depth information.
ToF camera and lidar are the same in principle, there is not much difference, ToF camera is more often called depth camera or 3D camera. lidar is also called focal plane imaging lidar. The actual ToF camera is similar to the traditional mechanical scanning lidar. The traditional mechanical scanning lidar is point-by-point scanning imaging, while the ToF camera is a one-shot imaging.
Page 19 of 48