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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.

MYNT AI is a Silicon Valley AI startup that creates superhuman eyes for robots and cars. It was founded by a group of serial entrepreneurs, computer vision scientists, machine learning experts, architects, and senior engineers from Stanford, Motorola, Nokia, Samsung, and Baidu in 2014. It has grown into a team of hundred gurus cross US and China. MYNT has developed series of MYNTeye™ - IMU integrated structured-light stereo depth cameras, VIO and VSLAM software using its 3D cameras, and customized visual navigation and mapping solutions for service robots, vacuum bots, and ADAS.

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