Ultra-small 3D camera "Orbbec Astra STEREO S / Embedded S" which is most suitable for computer vision

■ This is an article posted on June 2019, 2, so the content of the information may be out of date.

Ultra-compact 3D camera suitable for computer vision on Unipos website Orbbec Astra STEREO S / Embedded S Page has been added.

3D camera as small as an AA battery,Orbbec Astra STEREO S / Embedded S Is the latest model in the Orbbec Astra series.

orbbec_astra_stereo_s_img1.jpg

Astra STEREO S

The ability to place cameras in close proximity to each other has been optimized for use in multi-camera applications and is now ready for outdoor use as well.

Examples of applications: Retail industry, automobile industry, robot picking, objective measurement, home security, etc.

Main Specifications
Dimensions: 59.6mm x 17.4mm x 10.4mm
Range: 0.3-3.0m
Power Consumption: Average: 2.36W
Depth Resolution Framerate: 640 × 400 @ 30FPS
RGB Resolution Framerate: 1920 × 1080 @ 30FPS / 1280 × 720 @ 30FPS
Depth FOV: H67.9 ° V45.3 ° D78 ° ± 3.0 °
RGB FOV: H 59.8 ° V46.6 ° D71.8 °
Data Transfer: USB2.0
RGB Interface: UVC
Operating System: Android / Linux / Windows7 / 8/10
Power: USB
Operating Temperature: 10 ℃ -40 ℃
Rating: Class 1 Laser Product

orbbec_astra_embedded_s_img1.jpg

Astra Embedded S

The structured-light system is adopted, and it is now compatible with depth resolution and frame rate improvement, RGB viewing angle expansion, and USB3.0 data transfer.

Examples of applications: Face recognition, gesture recognition, 3D measurement, SLAM, AR / VR, etc.

Main Specifications
Dimensions: 68.6mm x 22.35mm x 14.8mm
Range: 0.25-1.5m
Power Consumption: Average: 2.2W
Depth Resolution Framerate: 1280 × 800 @ 30FPS / 640 × 400 @ 60FPS
RGB Resolution Framerate: 1920 × 1080 @ 30FPS / 1280 × 720 @ 30FPS
Depth FOV: H67.9 ° V45.3 ° D78 ° ± 3.0 °
RGB FOV: H71.5 ° V56.7 ° D84 °
Data Transfer: USB
RGB Interface: UVC
Operating System: Android / Linux / Windows7 / 8/10
Power: USB Type-C
Operating Temperature: 10 ℃ -40 ℃
Rating: Class 1 Laser Product

Both are expected to be used in various fields for computer vision applications.