Vehicle Payload Monitoring System

Yadav, Nishant; Yadav, Nishita; Garg, Anjali

doi:10.1007/978-3-030-89554-9_7

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Tested under real highway conditions using 10 participants, the computer vision algorithm achieved over 90% accuracy in distinguishing alert versus fatigue states based on PERCLOS metric. However, major hardware requirements pose challenges to integration at scale.Garcia et al [4] designed a lightweight embedded system using ATmega328 microcontroller and infrared emitter/detector for affordable blink rate monitoring. The prototype device was able to detect drowsiness with reasonable accuracy by tracking abrupt changes and progressive drop-offs in blink frequencies.…”

Section: Drowsiness Monitoring Approachesmentioning

confidence: 99%

Driver Safety: Accident Prevention and Detection System

Neeraja

2024

IJSREM

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The integrated Accident Prevention and Detection System is a groundbreaking venture poised to elevate vehicular safety with advanced technology. By amalgamating a NodeMCU microcontroller, alcohol detection sensor, eye blink sensor, and GSM module, this system offers a holistic solution. Monitoring alcohol levels and signs of fatigue, the sensors feed data to the NodeMCU, the brain of the system. Real time analysis allows the system to foresee potential collisions and promptly intervene. Beyond collision prevention, the GSM module enables emergency communication, instantly alerting authorities via SMS in case of a looming collision. With remote monitoring capabilities and GPS tracking for accurate location data, this system is tailored for adaptability and user- friendliness. By combining these elements, it not only detects impairment but also proactively mitigates risks, standing as an innovative safeguard for road safety. Key Words: NodeMCU microcontroller, Eye Blink Sensor, GSM Module, Alcohol Detection Sensor, SMS Alerts, Vehicle Safety, Remote Monitoring, GPS Tracking.

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Section: Drowsiness Monitoring Approachesmentioning

confidence: 99%