Vision-Guided Unordered Grasping of Bicycle Seat Connectors

Project Background

Amid industrial digital transformation, traditional labor-reliant production models are struggling with workforce shortages, rising costs, and inflexibility. DexForce's spatial and embodied intelligence suite, powered by the DexVerse™ engine, brings efficiency and intelligence to key processes, helping customers cut costs, boost productivity, and strengthen core competitiveness.

Core Values

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the high-precision 3D camare that can generate high-fidelity images for black and highly reflective connectors.

Precise Positioning

Enabled by advanced vision algorithms that accurately locate connectors in various poses and guide robots for precise grasping.

Product Recommendations

Higher Precision 3D Imaging Capability

Based on self-developed high-precision 3D imaging algorithms and HDR technology, achieving a Z-axis measurement accuracy as high as 50µm at a working distance of 600mm, applicable to industrial inspection fields with high precision requirements

Integrated Imaging and Perception

Equipped with NVIDIA Jetson Nano core, built-in computing and control algorithms, endowing the camera with point cloud analysis capability, optimizing image quality; fast speed, more stable, enabling lightweight, edge deployment

Industrial-Grade Design to Handle Real-World Scenario Challenges

IP65 dustproof and waterproof design; wide temperature design, supports operation in working environments from -10°C to 50°C, adaptable to most industrial scenarios; passed certifications such as EU CE, RoHS, US FCC, etc., better coping with harsh industrial environments like humidity, electromagnetic interference, dust

Algorithm Development for Extreme Working Conditions

Exposure modes specifically optimized for highly reflective object surfaces, effectively improving the camera's accuracy and stability in measuring highly reflective surfaces. Exclusive compensation algorithm can effectively reduce depth measurement errors, minimizing the impact of object surface textures on depth images

Vision-Guided Unordered Grasping of Bicycle Seat Connectors

Project Background

Project Challenges

Case Video

Core Values

Product Recommendations