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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.

Project Challenges

⦁ The heavy weight of railway sleepers makes manual loading labor-intensive and inefficient.

⦁ On-site production requires high precision and fast cycle time.

Case Video

Core Values

High-Precision Imaging

High-Precision Imaging

Guaranteed by the high-precision 3D camera that can generate high-fidelity images for railway sleepers.
Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately locate railway sleepers and guide robots for precise grasping.

Product Recommendations

Higher Precision 3D Imaging Capability

Higher Precision 3D Imaging Capability

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

Integrated Imaging and Perception

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

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; certified by EU CE, RoHS, US FCC, etc., better coping with harsh industrial environments like humidity, electromagnetic interference, dust
Algorithm Development for Extreme Working Conditions

Algorithm Development for Extreme Working Conditions

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