%0 Journal Article %1 noauthororeditor %A V.Ramya, %D 2012 %J International Journal of Computer Science, Engineering and Applications (IJCSEA) %K algorithms networks %N 02 %P 83-94 %R 10.5121/ijcsea.2012.2207 %T Embedded Technology for vehicle cabin safety Monitoring and Alerting System %U http://airccse.org/journal/ijcsea/papers/2212ijcsea07.pdf %V 02 %X Motor vehicles are the prime source of transportation where vehicles with A/C play a major part. This paper designs an embedded system for a vehicle cabin, which senses the gases like carbon-monoxide and oxygen and displayed at each and every second. If the level of the CO increases than the normal level (30ppm) or the level of the oxygen decreases than the normal level (19%) then an alarm is generated automatically and also ventilation is provided immediately. A warning message is sent to the authorized user via GSM. The advantage of this system is proper detection and faster response time leading to faster diffusion of the situation, compared with the manual methods.

@article{noauthororeditor, abstract = {Motor vehicles are the prime source of transportation where vehicles with A/C play a major part. This paper designs an embedded system for a vehicle cabin, which senses the gases like carbon-monoxide and oxygen and displayed at each and every second. If the level of the CO increases than the normal level (30ppm) or the level of the oxygen decreases than the normal level (19%) then an alarm is generated automatically and also ventilation is provided immediately. A warning message is sent to the authorized user via GSM. The advantage of this system is proper detection and faster response time leading to faster diffusion of the situation, compared with the manual methods.}, added-at = {2018-07-13T12:15:37.000+0200}, author = {V.Ramya}, biburl = {https://www.bibsonomy.org/bibtex/273fecb16ea558ec0f776f19d71ec1764/ijcsea}, doi = {10.5121/ijcsea.2012.2207}, interhash = {50104a51638e58be10676da63b739367}, intrahash = {73fecb16ea558ec0f776f19d71ec1764}, issn = {2230 - 9616}, journal = {International Journal of Computer Science, Engineering and Applications (IJCSEA)}, keywords = {algorithms networks}, month = {April}, number = 02, pages = {83-94}, timestamp = {2018-07-13T12:15:37.000+0200}, title = {Embedded Technology for vehicle cabin safety Monitoring and Alerting System}, url = {http://airccse.org/journal/ijcsea/papers/2212ijcsea07.pdf}, volume = 02, year = 2012 }