Legal Disclaimer

1. Accuracy of Classification Outputs

While SightQC models achieve a 99.2% defect detection accuracy during standard calibration testing, actual inspection accuracy is subject to factory floor variations (such as grease accumulation on camera lenses, vibration displacement of mounts, and ambient LED color temperature shifts).

All AI classifications and anomaly detections are provided "as-is." Visual inspection models represent predictive outputs and should not be relied upon as absolute verification of zero-defect batches.

2. Third-Party Hardware Integration

SightQC interfaces with third-party camera hardware (Basler, Hikvision, Axis, etc.) and factory line actuators (actuated reject gates, warning beacons). ARCAISYS PRIVATE LIMITED is not liable for camera sensor failure, physical actuator wear, electrical short-circuits, or sorting relay failures.

3. Liability Exclusions

In no event shall ARCAISYS PRIVATE LIMITED be liable for manufacturing scrap overheads, delivery delays, contract terminations requested by your buyers, or any indirect losses resulting from your use of the platform.