Traditional surveillance focuses on recording footage for forensic review. However, in high-stakes industrial environments, the "Megapixel Myth" often leads to deployment failures. An 8MP camera might cover a wide factory floor, but if it only provides 5 pixels on a worker's helmet at 20 meters, the AI cannot trigger a safety alert.
Min. for PPE Compliance
Safety Trigger Latency
Accuracy at Recommended PPM
The correct metric for safety is Pixels Per Metre (PPM). This determines whether the neural network can identify a safety vest, detect a finger near a machine guard, or recognize an unauthorized intrusion in real-time.
Based on IndoAI field deployments, these are the minimum technical benchmarks required for commercially viable safety accuracy (>90% True Positive Rate).
| AI Task | Min PPM | Recommended | Critical Requirement |
|---|---|---|---|
| PPE Detection | 25 PPM | 40 PPM | Body must be ≥80px vertically |
| Restricted Area | 10 PPM | 15 PPM | Human pose estimation |
| Fire & Smoke | 12 PPM | 20 PPM | Full scene texture analysis |
| Machine Guarding | 80 PPM | 120 PPM | High-speed inference (<30ms) |
Successful Edge AI deployment in India now requires adherence to the Digital Personal Data Protection (DPDP) Act 2025. By processing video at the Edge, IndoAI ensures PII (Personally Identifiable Information) is never transmitted to the cloud, satisfying "Privacy by Design" requirements.
To calculate your safety coverage before buying hardware, use the formula:
PPM = Horizontal Pixel Count / ((Sensor Width * Distance) / Focal Length)