Operating Environment Indoor & Outdoor
Depth Technology Active & Passive Stereo
Depth Range 0.31m - 20m+
Ideal Range 0.31m - 10m
IMU Support
SDK Orbbec SDK
Baseline 95mm
Spatial Precision ≤0.4% @ 2m; ≤0.8% @ 4m
Depth FoV 90° × 65° ± 3° @ 2m
Depth Resolution and Frame Rate Up to: 1280 x 800 @ 10fps; 640 x 400 @ 20fps
Depth Shutter Type Global Shutter
RGB FoV 94° × 68° ± 3°
RGB Resolution and Frame Rate Up to: 1280 × 800 @ 10fps; 1280 x 720 @ 20fps
RGB Image Format MJPEG & I420
RGB Shutter Type Global Shutter
Power supply Power supply by DC via M12 A-coded 9-24V ≥2A; Power supply by PoE via M12 A-coded IEEE 802.3af
Power Consumption DC Average ≤ 6.5W (Peak ≤ 11W); PoE Average ≤ 8.0W (Peak ≤ 15W)
Protection IP67
Multi-camera Hardware Sync M12 A-coded
Operating Temperature -10℃ - 50℃
Weight 520g ± 3g
Dimensions (W*H*D) 138.5 mm × 40.5 mm × 70.0 mm
Interface M12, 8-pin, X-coded M12, 8-pin, A-coded
Installation Back:4x M4; Bottom:4x M4; Top:4x M4

Gemini 435Le

Industrial Stereo Vision Camera with Scene-configurable Depth Performance

Exceptional Depth Performance for Robotics | Gigabit Ethernet with PoE | IP67

Price
$499
Taxes and shipping calculated at checkout

What's Included:

● Gemini 435Le 3D Camera
● Quick Start Guide
● Power Cable (2m)
● Data Cable (2m)

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Ready for Industrial Robots
Gemini 435Le is an industrial-grade stereo vision camera specifically engineered to tackle robotic vision challenges. Optimized for long-range missions, it is capable of performing diverse perception purposes while delivering exceptional depth data — empowering bulky robots to achieve stable, precise, and flexible positioning, navigation, and object recognition in harsh environments.

Push Depth Beyond Limits
Elevating Robotic Vision
Gemini 435Le delivers superior environmental adaptability and depth measurement performance. It provides low-noise, high-density environmental depth data to enhance path planning efficiency for robotic navigation. At the same time, it effortlessly overcomes measurement challenges in complex scenarios such as logistics, accurately reconstructing object contours across various materials to fully meet the requirements of high-precision recognition and measurement.