Farewell to "Luck-Based" Logistics Random Inspections, SingTown Technology Enables "Full-Coverage" Efficient Inspection Implementation

In the process of express logistics sorting and outbound operations, the quality of package label attachment directly impacts information recognition and subsequent delivery procedures. Traditional manual sampling inspections are inefficient and prone to oversight, particularly in high-speed sorting lines where real-time monitoring is challenging. To address this, express logistics companies have adopted SingTown's OpenMV intelligent camera recognition technology. Utilising AI machine vision and image recognition algorithms, this system automatically detects the attachment status of package labels, ensuring that each label is complete and accurately positioned.

Express logistics enterprises utilise SingTown Technology's OpenMV intelligent camera machine vision and image recognition technology to achieve automatic label detection and correction during the conveyor belt sorting process.

The camera is installed approximately 30–50cm away from the package to identify a white label measuring about 60mm×60mm. The system utilises edge detection, region recognition, and template matching algorithms to determine whether the label is missing, misplaced, offset, or lifted. Upon detecting any of the aforementioned conditions, the system immediately sends a signal to the control unit to enable automatic alarm or rejection processing.

The edge computing and real-time processing capabilities of the OpenMV intelligent camera enable it to stably detect targets on high-speed conveyor belts, with a single response time of less than 200 milliseconds. The system's detection results can be output via GPIO or serial port, seamlessly interfacing with sorting control systems or PLCs to form a complete automated quality inspection process.

Through SingTown Technology's OpenMV intelligent camera recognition technology, express logistics enterprises have achieved an intelligent upgrade from manual sampling inspection to comprehensive coverage detection with edge AI and embedded vision. Leveraging its flexible and efficient edge deployment capabilities, it significantly enhances outbound accuracy and sorting efficiency, providing robust technical support for the construction of intelligent logistics systems.