In addition to the ToF image sensor still has great application prospects in consumer electronics, its potential in the Internet of Things field also has the potential to be tapped. Judging from the market share of ToF sensors, following the smartphone and tablet markets are building inspection, smart home, automotive central control, and drones.
With the various competitions of smartphones, especially in terms of cameras, wide-angle camera modules, telephoto camera modules, periscope telephoto camera modules, 3D camera modules, portrait camera modules, punch-hole camera modules, etc., of course A new term ToF camera module, in fact, this is not a new technology, it has been applied in some previous flagship mobile phones. So what is a ToF camera module?
Devices that use ToF technology to image are called ToF cameras. ToF cameras are similar to ordinary machine vision imaging processes. They are all composed of light sources, optical components, sensors (ToF chips), control circuits, and processing circuits. Several units. This technology is basically similar to the principle of the 3D laser sensor, except that the 3D laser sensor scans point by point, while the ToF camera obtains the depth information of the entire image at the same time.
In recent years, with the widespread application of 3D face recognition technology in mobile phones, finance and other fields, people have a full understanding of 3D face recognition technology, and it has also accelerated its application in other fields. Among them, 3D face recognition has become one of the main recognition technologies for smart door locks.
At present, 3D face recognition in the market is mainly divided into: 3D structured light, ToF camera, binocular stereo vision according to the imaging principle of the camera.
ToF sensor ranging from single-point to multi-point, the application field has also been widely expanded, and the products are also rich and diverse. The following are typical application cases:
Face recognition smart door locks are usually equipped with ToF Sensor in order to meet the needs of long-term use. The application of ToF Sensor here is mainly reflected in two aspects, one is to do human body detection, and the other is to do pre-awakening of the face recognition system. In the face recognition door lock,
The logistics industry can identify the 3D data of a single product through the tof sensor. The tof sensor solution realizes 3D scanning measurement, and the recognition accuracy can reach the millimeter level. AI algorithm intelligently analyzes the type of shipment and measures in real time.
The tof sensor principle is used to measure the distance between the sensor and the object. The time it takes for a signal to return to the sensor after being reflected from an object is measured and used to calculate distance.
According to the speed formula: c=d/t, c is the speed of light, d is the distance, and t is the time. Then we measure the time the light takes between sending out and returning, and multiplying that by the speed of light is the distance.
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