Vision-Guided Sorting of Medicine Boxes

Project Background

Driven by e-commerce prosperity and consumption upgrading, the traditional labor-intensive logistics model can no longer meet the demands of large-scale, high-efficiency cargo handling. The logistics industry urgently needs transformation and upgrading to enhance overall operational efficiency, reduce costs, and strengthen market competitiveness. By leveraging the DexVerse™ engine, DexForce's spatial and embodied intelligence suite empowers depalletizing and sorting operations with higher efficiency, intelligence, and precision, helping customers enhance their core competitiveness.

Core Values

High-Precision Imaging

Enabled by the high-precision 3D camera that captures clear images of medicine box surfaces.

Stable Grasping

Enabled by advanced vision algorithms that realize 24/7 stable operation.

Product Recommendations

Higher Precision 3D Imaging Capability

Based on self-developed high-precision three-dimensional imaging algorithms and HDR technology, achieving a Z-axis measurement accuracy of up to 50 µm at a working distance of 600mm, applicable to industrial inspection fields requiring high precision

Integrated Imaging and Perception

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

Industrial-Grade Design, Addressing Real-World Scenario Challenges

IP65 dustproof and waterproof design; wide temperature design, supports operation in 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

Extreme Working Condition Algorithm Development

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

Vision-Guided Sorting of Medicine Boxes

Project Background

Project Challenges

Case Video

Core Values

Product Recommendations