Intelligent Medicine Box Loading & Unloading Solution: Redefining Precision and Flexibility in Pharmaceutical Distribution
Overview
Bid farewell to high labor costs and compliance concerns, and build a smart pharmaceutical warehouse and intelligent factory with 7×24-hour uninterrupted operation and full-process traceability.
Faced with dual pressures of cost and compliance in the pharmaceutical industry, we provide an integrated solution centered on composite robots (AMR + collaborative arms + AI vision). It frees staff from repetitive, high-risk manual operations. The solution not only realizes fully automatic sorting and handling of medicine boxes, but also delivers digital traceability via “one item, one code”. It helps cope with GSP/GMP regulatory challenges, cuts enterprise costs and safeguards patient medication safety.
1. Labor Cost & Efficiency Ceiling
Medicine box sorting, shelving and restocking involve highly repetitive work leading to high staff turnover. Warehouse management relies on manual experience; new employees require long training cycles. Efficiency bottlenecks emerge sharply during order peaks. Fatigue easily triggers picking errors and misplacement, which may incur severe consequences.
2. The Sword of Damocles for Compliance & Traceability
GSP/GMP regulations demand 100% accurate recording of drug circulation information (batch number, expiry date). Manual scanning and paper records are inefficient with heavy daily workload and long walking distances. Real-time “one item, one code” tracking is hard to achieve. Once a drug recall occurs, manual tracing becomes akin to finding a needle in a haystack, bringing enormous time and legal risks.
3. Integration Pain of Automation Upgrade
Traditional fixed mechanical arms lack flexibility and struggle to adapt to multi-SKU, small-batch pharmaceutical warehousing scenarios. Connection with existing MES/WMS systems often faces inconsistent protocols, long integration cycles and high renovation costs, hindering technical upgrade attempts.
1. Precision Perception: AI 3D Vision System — Solving Precision Issues of Unreliable Detection & Inaccurate Gripping
How we resolve pain points: Reject rigid templating. For complex scenes with inconsistent medicine box sizes, stacking and reflective surfaces, our self-developed 3D vision and deep learning algorithms achieve a repeat positioning accuracy of ±0.5 mm. The system can identify 100% of medicine boxes regardless of upright, side or tilted placement, and intelligently plan optimal picking paths.
Value delivered: Eliminate picking errors with an operation accuracy above 99.9%. Automatically capture barcode and batch information to lay a foundation for full-process traceability.
2. Flexible Execution: Composite Robot Body — Solving Efficiency Issues of Limited Mobility & Slow Transfer
How we resolve pain points: Combine the mobility of Autonomous Mobile Robots (AMR) and gripping capability of collaborative robotic arms. The AMR equipped with robotic arms navigates autonomously between workstations without production line reconstruction. It completes the full material circulation workflow “from shelf to production line” or “from inbound area to shelving”.
Value delivered: Enable 7×24 nonstop operation. A single unit covers loading/unloading for multiple devices. With RaaS (Robot-as-a-Service) model, production capacity can be flexibly expanded without heavy capital investment.
3. Intelligent Brain: Unified AI Control Platform — Solving O&M Issues of Poor Coordination & Slow Integration
How we resolve pain points: Our “central commander” platform uniformly schedules AMR movement, robotic arm motion and vision systems. It supports no-code / low-code programming; new workstations and tasks can be quickly defined via drag-and-drop interfaces. Standard APIs (Modbus TCP, OPC UA) allow simple plug-and-play connection with your MES/WMS systems.
Value delivered: Cut deployment cycle from weeks or months down to within 3 days. Greatly lower O&M barriers. When business volume fluctuates, robot fleets can be scheduled flexibly just like “hailing a taxi” to respond rapidly to market changes.
