The Challenge
Quality inspection must operate at full line speed — any slowdown for inspection directly reduces throughput and becomes a production bottleneck. Defect types are diverse: surface flaws, dimensional errors, contamination, and color deviation all vary by product and batch.
False positives waste good product. False negatives ship defects. Both are costly. Vision systems must be robust to lighting variation, product orientation changes, and environmental shifts. And reject actuation must be fast enough to remove defective items without disturbing adjacent good product on the line.
How Adeeb Solves It
- Line-speed inspection — Delta robot reject actuation at 200+ picks per minute means zero throughput compromise for quality control
- Sub-5ms vision pipeline — EtherCAT-triggered camera acquisition, processing, and robot command complete within a single scan cycle
- AI-ready architecture — Standard interfaces for deep learning inference engines (ONNX, TensorRT) running on edge IPCs alongside the EtherCAT Master
- Multi-class sorting — Programmable reject bins and lanes enable quality grading (A/B/C grade) rather than simple pass/fail
- Encoder-synced tracking — Conveyor encoder feedback provides precise product position for accurate mid-flight reject targeting
Typical Configuration
| Component | Specification |
|---|---|
| Robot | Adeeb Delta, 1200mm workspace |
| End-effector | Vacuum or air-blast reject nozzle |
| Vision | Line scan or area scan camera, EtherCAT-triggered |
| Lighting | Structured or diffuse, application-specific |
| Controller | Adeeb EtherCAT Master, 1ms cycle |
| AI inference | Edge IPC with GPU (optional), ONNX/TensorRT |
Industries
- Food & Beverage — Foreign body detection, quality grading, color and size sorting, label verification
- Pharmaceuticals — Tablet inspection, fill-level verification, label and print inspection, serialization verification
- Electronics — Solder joint inspection, component presence/absence, PCB defect detection
- Agriculture — Fruit and vegetable grading, size sorting, ripeness classification
- Recycling — Material type sorting, contamination detection
Standards & Compliance
- FDA 21 CFR 211 — Pharmaceutical cGMP for inspection requirements
- FSMA — Preventive controls for food safety
- ISO 2859 / AQL — Acceptance quality level sampling conformance
- ISO 22000 — Food safety management integration
- EU 178/2002 — General food law traceability requirements
