AGV Pallet Identification
In industries such as warehousing automation and logistics, pallets serve as fundamental transportation and storage units that require effective identification to ensure accurate handling by AGV. LuminWave’s 3D ToF camera captures comprehensive pallet data and employs integrated deep learning algorithms to achieve precise recognition of pallet characteristics including type, quantity, material composition, and dimensional specifications. The system simultaneously outputs critical operational parameters such as pallet deflection angles, offset distances, positional coordinates, orientation data, and serial identification, thereby ensuring reliable precision in AGV operations for seamless goods pickup and storage.
Recommended Solutions
Industrial PC (IPC) Solution
Configuration: D3 Camera + LWI-Vision Deep Learning Pallet Recognition Algorithm
This solution is designed for scenarios where the existing industrial PC possesses robust CPU and NPU computing resources. It provides a standardized pallet recognition SDK for deployment on the IPC, delivering real-time output of pallet pose information including position, orientation, and spatial coordinates.
Embedded Solution
Configuration: DM Camera (with Embedded Pallet Recognition Algorithm)
Designed for cost-sensitive applications or scenarios without industrial PCs, this solution integrates the DM camera with a built-in RK3588 core board. Featuring an 8-core CPU and 6 TOPS AI computing power, it efficiently runs both traditional and deep learning algorithms for pallet recognition.
Advantages
Support accurate identification of pallets in various colors (blue, yellow, black, etc.), materials (plastic, wood, metal, etc.), and designs (stringer-type, block-type, etc.).
With an IP67-rated housing, the camera resists dust and liquid ingress, ensuring durable performance in harsh industrial environments.
Provides Windows/Linux-compatible SDKs for seamless integration across different operating systems and deployment platforms.
Designed for semi-outdoor use, the camera features built-in ambient light filtering to maintain stable and accurate pallet recognition under varying lighting conditions.
Support single-pallet loading/unloading and multi-pallet stacking scenarios, making it ideal for diverse applications including racked warehouses, floor-stacked storage, high-bay shelving, and production line distribution.
Equipped with HDR, noise reduction, dead-pixel correction, and distortion compensation algorithms to enhance recognition precision and imaging quality.
Application Cases
AGV Pallet Recognition
At a renowned AGV manufacturer, LuminWave’s pallet recognition solution has been successfully implemented in loading and unloading scenarios. It can stably identify multiple sets of pallets and output their coordinates and poses even in the dark environment inside the vehicle compartment. Moreover, relying on AI deep learning algorithms, it can adapt to pallets of various colors and materials, meeting the diverse needs of customers.
- Vertical Distance: Up to 2.5 meters
- Frame Rate: Support outputting pallet coordinates at a rate of 10 frames per second, capable of recognizing pallets while the AGV is in motion.
Point Cloud Effect
Products Recommendation
Contact Us
Fill out the form to get more information about LuminWave.
We will reply to you as soon as possible.
- sales@luminwave.com
- 19157800366
