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Case Background

The loading and unloading of components in automotive transmission systems affects vehicle performance and production capacity. Traditional methods suffer from positioning deviations and inefficiencies. Empowered by the DexVerse™ engine, DexForce's spatial and embodied intelligence suite employs synthetic data to train models, which allows for rapid configuration and high-precision handling of robotic arms. DexForce aims to empower automakers to move towards intelligent and efficient production.

Case Challenges

⦁ Highly reflective surface of outer races leads to incomplete imaging area.

⦁ There may be oil stains and other interferences on the surface of workpieces.

Case Video

Core Values

Complete Imaging of Highly Reflective Workpieces

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the exclusive binocular stereo intelligent camera in China that can generate high-precision point clouds through deep learning models. The innovation addresses the imaging problem of highly reflective outer races.
Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately and rapidly locate outer races and guide robots for precise handling.

Product Recommendation

Stable Imaging Under Complex Lighting Conditions

Stable Imaging Under Complex Lighting Conditions

By leveraging the in-house developed Sim2Real intelligent algorithms, KINGFISHER, the binocular stereo intelligent camera, utilizes two cameras to capture images from different angles. The innovative design enables the vision system to capture clear images and perform stably even in complex conditions like strong semi-outdoor lighting.
Open and Easy to Use

Open and Easy to Use

The camera can be quickly linked to PickWiz, the 3D vision guidance software. It leverages the DexVerse™ embodied intelligence engine to collect real-world data in real time and perform continuous cloud-based optimization of vision algorithms.
Higher Return on Investment

Higher Return on Investment

KINGFISHER series not only meet the requirements for wide field-of-view range in scenerios such as depalletizing and handling, but also can replace 3D industrial cameras in traditional solutions, with lower costs and higher efficiency.
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