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MYNT EYE Depth - MYNTAI
MYNT EYE Depth
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FAQ

Ideal for total solutions to stereo vision technology, including navigation, obstacle avoidance, mapping, ranging, etc.
We support multiple open source SLAM projects such as VINS, OKVIS, ORB_SLAM2, VIORB, etc.
The system supported by the SDK is Ununtu16.04/14.04, Windows 10; the supported hardware platforms include PC, TX1/TX2 and other ARM architecture platforms.
The main function of the SDK is to transmit and separate binocular images, transmit imu data, calculate disparity images, depth images, and provide ROS Wrapper; the SDK itself is completely open source, but MYNTAI also provides some auxiliary plug-ins (such as CUDA computation depth), these plug-ins are not open source.
The S series only provides black and white images, and the D series provides 720P/480P color images and depth images.
It is hardware synchronization and relies on a time system with microsecond accuracy.
A separate image parameter calibration is performed for each binocular before leaving the factory.
Refer to the depth plate error chart and the accuracy can reach up to 99%.
This series of binocular cameras has a case; in addition, the binoculars are equipped with an IR light active emitter, which is mainly used to add texture features to planes without obvious texture features (such as white wall surface), which is beneficial for depth calculation.

Founded in July 2014, MYNT, Inc. is supplier of stereo visual solutions. Our core technology includes visual obstacle avoidance, navigation, self-driving, environment/object recognition, and facial identification based on CNN and deep learning. Our products include different vSLAM visual modules, binocular solutions, binocular camera modules, and robot products based on visual technology. In the future, MYNTAI's strategic goal is to become the best VPS cloud service supplier based on visual navigation and recognition with excellent integrate software and hardware solutions.

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