Please fill out the form below. Our expert advisor will contact you shortly!

*Name:

*Phone:

*Company:

Email:

*City:

Inquiry:

Industry Application Research & Education Personal Use Agency Cooperation Others

Notes:

Cancel
Submit

Project Background

In home appliance manufacturing scenarios, production lines face challenges such as diverse workpiece specifications, interference from reflective and oily surfaces, and mixed-model production. Powered by the DexVerse™ engine, DexForce's spatial and embodied intelligence suite enhances production quality and efficiency across the entire production chain, from model training and environmental adaptation to flexible production.

Project Challenges

⦁ The highly reflective surfaces of the bearings make complete imaging challenging.

⦁ Vision recognition cycle requires fast speed and high precision.

Case Video

Core Values

Complete Imaging of Highly Reflective Workpieces

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the high-precision 3D camera that can capture the high-fidelity imaging of highly reflective and thin-walled bearings.
Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately locate reflective bearings and guide robots for precise handling.

Product Recommendations

High Energy and Anti-Reflection Performance

High Energy and Anti-Reflection Performance

Based on the high-energy characteristics of lasers, the FINCH camera demonstrates excellent anti-reflection performance, capable of imaging black high-reflectivity components in complex environments
Wide Field of View and Large Depth of Field

Wide Field of View and Large Depth of Field

The laser line beam has an ultra-large depth of field range, providing a larger depth of field compared to traditional optical systems, meeting customers' broader field of view requirements
Edge Computing with Minimal Load

Edge Computing with Minimal Load

Equipped with an NVIDIA Jetson Nano core, the camera has built-in powerful computing capabilities, independently achieving camera control and point cloud analysis imaging. Compared to traditional cameras, it is faster, more stable, and does not occupy the customer's host computing resources
Consultation Popup