Overview
Inspection is only valuable when it is measurable, repeatable, and traceable. Motionwell delivers vision inspection and functional testing solutions that connect inspection decisions to clear data outputs, controlled rejects, and audit-friendly records (project-dependent).
Core Inspection and Testing Capabilities
| Capability area | Typical scope | Output and traceability focus |
|---|
| Vision inspection | Defect detection, OCR/OCV, alignment checks | Images/metrics linked to part IDs and pass/fail decisions |
| Functional testing | Leak/pressure, torque, force-displacement, electrical continuity | Logged parameters and thresholds with timestamps |
| Reject handling | Controlled reject mechanisms and reporting | Prevents silent escapes and supports root cause analysis |
| Analytics | Trend analysis and KPI dashboards (project-dependent) | Highlights drift and helps prevent recurring defects |
Project References (Examples)
| Project reference | Inspection focus | Delivered implementation (high-level) |
|---|
| P22068 (Vision Inspection System) | Visual inspection workstation | Camera + lighting + rotation platform + pass/fail integration |
| Project 0023 (Pharmacy Automation) | Code verification and reject handling | OCR/OCV verification with HMI reporting and controlled reject logic |
| Project P23078 (QA Lab Automation) | Functional testing integration | Multi-station test orchestration with traceable result handling |
Engineering Notes (How We Reduce False Rejects)
| Topic | Practical approach |
|---|
| Lighting and optics | Define lighting geometry first, then tune algorithms to stable images |
| Sampling vs 100% inspection | Set rules based on risk and cost of escapes vs false rejects |
| Verification thresholds | Use measured distributions, not “guessed” thresholds |
| Data retention | Store what you need for audits and troubleshooting, not everything blindly |
Frequently Asked Questions
| Question | Answer |
|---|
| Do you use rule-based vision or AI? | We use the method that fits the defect type and explainability needs. Many stations combine deterministic checks with AI-based classification where variability is high. |
| How do you handle borderline parts? | We define a clear decision policy and validate it with real samples. For critical defects, we design rejection and recheck flows that keep traceability intact. |
| Can you link inspection results to our batch records? | Yes. The key is agreeing on IDs, timestamps, and a stable interface for results and evidence (files, databases, or APIs). |
To improve inspection and testing, contact us at /contact/ with your defect list, inspection targets, and data retention requirements.
See inspection in action: Electronics Automation | Medical Automation | QA Lab Automation
