ToF cameras add depth information to images that can provide valuable data for a range of detection and recognition applications. This is critical for creating industrialized IoT systems where the need for deeper automation is growing rapidly.
ToF cameras calculate the depth of an object by emitting light other than visible light to measure the time it takes for it to hit the surface of the object and reflect back. This provides depth information for each pixel to create a full-resolution depth image.
There are two main types of ToF cameras: direct (dToF) and indirect (iToF). Although the two types are similar, they differ in how they measure distance. dToF calculates the distance directly from the time the emitted light and reflection is detected; iToF uses the reflected light to distinguish the phase between the emitted and reflected light. move to measure the distance.
Unlocking Precision and Speed: The Power of DOMI Direct Time-of-Flight Technology
DToF, also known as Direct Time-of-Flight, is a type of ToF sensor. DOMI has a variety of DToF that are used in various application such as computer...
