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Driver Fatigue Camera MCP
x402
Driver Fatigue Camera MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.22/call, status unknown (last checked 2026-09-15).
Processes driver-facing camera data to detect signs of fatigue, drowsiness, or inattention in real time.
Price / call$0.22
Success—
StatusUnknown
How this service works
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Output
The endpoint returns a fatigue/drowsiness detection result for the submitted driver image, likely including a classification (e.g. alert, fatigued, drowsy), a confidence or severity score, and possibly specific indicators such as eye-closure state or head-pose anomalies.
Example use cases
Fleet truck driver drowsiness alert
“I have a base64-encoded image from one of our truck dashcams — can you run it through the fatigue detection system and tell me if the driver appears drowsy or at risk of falling asleep?”
Rideshare driver safety monitoring
“Here's a snapshot from the in-cabin camera of one of our rideshare drivers — analyze it for signs of fatigue and let me know if we should send an alert to the driver.”
Automated fatigue checkpoint for long-haul routes
“We captured a driver frame at the three-hour mark of a long-haul route — process this image data and tell me whether the driver's fatigue level is within safe limits or whether we should trigger a rest stop recommendation.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/driver-fatigue-camera-mcp/api/processWhen to prefer
Choose this endpoint when you need real-time or near-real-time fatigue and drowsiness detection from a driver-facing camera image, especially in fleet management, rideshare safety, or autonomous vehicle monitoring contexts. It is purpose-built for driver fatigue specifically, making it more appropriate than a generic image classification API when the domain is driver safety.
Side effects
- Malformed or non-image base64 string returns a parsing or validation error
- Low-quality or dark images may yield low-confidence or inconclusive results
- Missing 'data' field in request body results in a 400 bad request
- Overly large image payloads may time out or be rejected
- Non-driver images (e.g. road-facing camera) may return meaningless classifications
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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