OakSense H60Q-QVGA Resolution ToF Camera
SKU 114992757
The OakSense H60Q is a camera kit based
on the MLX75026 Time-of-Flight (ToF) sensor which is a moplete camera for real-time
visualization, recording, and analysis of data by emitting and receiving near-infrared light. The
MLX75026 ToF sensor can be realized a very compact 3D Camera design based on the basic
three-way low-voltage power supply architecture of sensor chip. In the case of the
characteristic of the MLX75027 sensor, the kit contains an additional temperature sensor.
The OakSense H60Q acquires images in quarter VGA resolution as it supports 320 x 240 pixels
displayed 30FPS maximum on the screen. The kit is available with H60° x V40° field view, 850
nm 4-VCSEL illumination, designed in collaboration with lumentum. It can measure the
distance from 0.5 meters up to 5.0 meters with minute error. More specifically, under one
meter, the accuracy is less than 10mm and between 1 and 4 meters, the accuracy will be under
0.5% error.
The kit is designed in collaboration with lumentum and its receiving end is the laser detector
where it can be used in Machine Learning projects. And for convenience, it can
be directly deployed by connecting to the host PC with the Type C USB 3.0 interface and output
depth image, grayscale image, and point cloud picture through the software development
kit(SDK). The SDK is available for Windows, Linux, Mac and you can program it in C++ or
Python. The OakSense H60Q kit features raw data mode, exchangeable sensor optics,
visualizer, C, API, and Matlab SDK.
Feature
Mounted sensor: MLX75026 Time-of-Flight sensor
QVGA résolution image acquisition: 320 x 240 px
Long Measured Range: 0.5m ~ 5.0m
High measurement Accuracy: more than 99%
Display Frames Per Second: Maximum 30 FPS
Field-of-view: H60° x V40°
Multiply illumination: 4 x VCSEL @ 850nm
Built-in sensor: Additional temperature sensor
Data interface: Directly connect to PC through USB 3.1 Gen1 /Type C
Operating Temperature:-10°C - 60°C
Power Consumption:12V/ 1A (Peak) /0.5A(Average)
Application
Robot obstacle avoidance
Volume measurement
Gesture recognition
Environment scanning
3D re-modeling
Object recognition
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