• Lakshmi Madhu
• Dr. Revathi

Nowadays, Road accidents have been on the rise due to the rapid growth of population and vehicles. Nighttime accidents have resulted in numerous casualties and permanent disabilities. In India, 40% of road accident fatalities occur due to being unattended and excessive blood loss and 10% are due to fire exposures. The proposed system efficiently overcomes the above problems. The proposed system consists of two phases: "Accident detection using the GoogLeNet model of CNN architecture" from CCTV and "Reporting to the nearest hospitals and Fire Stations" through alert messages. The proposed system alerts nearby hospitals and fire stations using the CCTV's IP address and the longitude and latitude of the hospital's location.

Road Accidents, CCTV, fire stations, hospitals, GoogLeNet CNN Model

"NIGHT-TIME ACCIDENT DETECTION USING CCTV AND REPORTS TO THE NEAREST HOSPITALS AND FIRE STATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.d561-d570, March-2024, Available :http://www.jetir.org/papers/JETIR2403370.pdf

"NIGHT-TIME ACCIDENT DETECTION USING CCTV AND REPORTS TO THE NEAREST HOSPITALS AND FIRE STATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppd561-d570, March-2024, Available at : http://www.jetir.org/papers/JETIR2403370.pdf