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The BangQi robotic unpacking and picking system is an intelligent, unmanned feeding and sorting system specifically designed for industries such as new energy, pharmaceuticals, and 3C electronics. It integrates BangQi’s proprietary AI algorithms, industrial vision recognition, force-controlled gripping strategies, and multi-degree-of-freedom collaborative robotic arms. Featuring high efficiency, exceptional stability, and versatile adaptability, the system enables fully automated operations—from the automatic identification of various auxiliary materials and raw materials to unpacking, sorting, classifying, and precisely delivering them into production processes.
The system is adaptable to raw and auxiliary materials of various sizes, packaging formats (such as cartons, bags, plastic boxes, etc.), and stacking methods. Leveraging a multi-modal fusion technology that combines "vision, robotic arms, and AI," it effectively addresses key challenges like low manual unpacking and picking efficiency, high mis-picking rates, significant contamination risks, and heavy labor demands—ultimately helping customers achieve an intelligent upgrade in their front-end production-line logistics.
Key Highlights
Fully automatic identification and unpacking
Intelligent visual recognition identifies packaging box/bag information, automatically detecting material type, specifications, and orientation—no manual intervention required.
Strong adaptability across multiple scenarios
Capable of handling irregular stacking, various packaging materials and sizes, as well as diverse material types such as powders, rolls, and boxed items—offering exceptional flexibility.
High sorting accuracy, fast efficiency
A single robotic arm can achieve high-speed processing of 5 to 8 items per minute on average, while pairing it with a dual-arm system further enhances picking efficiency—and the mis-pick rate remains below 1%.
Process cleanliness ensures contamination prevention.
Contactless package opening, designed to operate in cleanroom environments, meeting the stringent cleanliness requirements of industries such as pharmaceuticals and lithium batteries.
Technological Advantages
AI-powered visual recognition system
By leveraging the Pongqi AI industrial small model and image recognition algorithms, we achieve multi-angle, multi-scenario image recognition, label reading, defect detection, and location pinpointing—with an accuracy rate exceeding 99%.
Adaptive Force Control and Intelligent Grasping Strategy
By considering the material properties, dynamically adjust the gripping force, angle, and path to prevent issues such as tearing, missing items, or slipping, thereby enhancing operational stability.
Modular Robotic Arm Architecture Design
Supports various forms such as collaborative robotic arms and SCARA robots, offering flexible deployment and easy scalability and maintenance for future upgrades.
Seamlessly integrates with WMS/MES systems
Seamlessly integrated with the Pound Flag WMS warehouse system and MOM manufacturing system, enabling synchronized data and logistics flows, as well as full-process visibility and control over the material feeding and picking workflows.
Real-time data tracing and self-diagnosis capabilities
The system can record material handling logs in real time and features self-diagnosis and self-correction capabilities, enhancing the overall safety and reliability of system operations.
Industry Applications
Pharmaceutical industry
Automatic sorting of medicinal materials and excipients, designed to support pharmaceutical manufacturing scenarios requiring small-batch, multi-category handling, stringent traceability, and high operational cleanliness standards.
3C Electronics Industry
Automated unpacking and precise sorting of various electronic components for feeding, enabling scalable, small-package handling with high-frequency picking operations.
E-commerce & 3PL Logistics Warehouse
Implement unmanned operations for tasks such as pre-order product sorting and post-return re-sorting, enhancing operational efficiency.
Customer Case
A large-scale pharmaceutical manufacturing base
Application scenarios: Automatic unpacking and sorting of pharmaceutical raw materials before feeding, requiring support for cleanroom environments and batch control.
Deployment details: Deploying a single-arm collaborative robot arm + cleanroom workstation + image recognition + barcode scanning and traceability system
Implementation results: Labor costs reduced by 70%, enabling automatic upload of single-batch operations to the MES system and ensuring GMP compliance.
A Leading Lithium Battery Company's Automated Unpacking and Picking Project
Application scenarios: Front-end unpacking and sorting of auxiliary materials for the electrode line, including bagged materials, box-packed paper cores, rolled materials, and more.
Deployment details: Deploying a dual-robot system combined with AI vision and a sensing system, integrated with WMS/WCS system control.
Implementation results: Average unpacking and picking efficiency doubled, while the contamination rate dropped by 95%, enabling a transition from a 3-person operation to a fully automated, zero-person setup.
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