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Alerting the Accident Zones

Author

Listed:
  • B. Chandupriya
  • P. Lakshmipathi

Abstract

Nowadays, no one in this world is prepared to seem what’s happening around them. even if, if any accident happens nobody cares regarding it. this is often an intention to implement an innovative answer for this drawback by developing an Accident alerting System exploitation robot good phone from the accident zone like great circle and latitude. Predicting student’s performance becomes tougher attributable to save the family’s life and their responsibilities within the society. presently in some countries exploitation most advanced safety models to save lots of life’s the dearth of existing system ar guards of life however in some cases their conjointly fails that we have a tendency to analyze and monitor the coed progress and perform a way to save lots of life's isn't being addressed. There ar thus main reasons of why this is often happening. First, the study on existing prediction ways remains meagerly to spot the foremost appropriate ways for stop predicting accidents. Second is attributable to the dearth of investigations on the factors poignant lifetime of bright student’s achievements. the most objective of this paper is to supply data in emergence to hospitals, police, families and close to serving to centers. This paper conjointly focuses on however the prediction algorithmic rule is wont to establish the foremost vital dangerous places. we have a tendency to might truly improve security and safety on the road. It might bring the advantages and impacts to the general public.

Suggested Citation

  • B. Chandupriya & P. Lakshmipathi, 2018. "Alerting the Accident Zones," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(2), pages 550-554, March.
  • Handle: RePEc:jbh:ijsrcs:v4:y2018:i2:id:hcseit184182
    Note: Article URL: https://ijsrcseit.com/CSEIT184182
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