scholarly journals Sensor Technology for Accident Detection

2020 ◽  
Vol 8 (6) ◽  
pp. 5709-5711
Keyword(s):  
Automobile Industry ◽  
Road Accident ◽  
Sensor Technology ◽  
Medical Assistance ◽  
Accident Victim ◽  
Accident Detection ◽  
Car Accident ◽  
Day By Day

As we know automobile industry is currently booming in india due to which number of vehicle also increasing day by day. In financial year 2019 approx 4.4 million cars were sold in indiadue to rise in number of vehicles rate of accident is also increasing. In year 2018 almost 1.5 lakhs lives were lost due to car accident. In our country many people still hesitate in helping a road accident victim because of legal formalities due to which many people loose there lifes. This projectwill help in detecting the accident and calling the medical assistance as soon as possiblewiththe helpof different sensorsandArduino uno.The aim of this project is to provide for the necessary aid to the victim and inform and report the accident in the least possible time by using IOT and sensors

Study on Quick Testing Instrument for Automobile Fuel Consumption

2011 ◽  
Vol 230-232 ◽  
pp. 178-182
Author(s):  
Bai Xue Fu ◽  
Sheng Hai Hu
Keyword(s):  
Fuel Consumption ◽  
Automobile Industry ◽  
Gasoline Engine ◽  
Computer Control ◽  
Cost Effective ◽  
Developed Countries ◽  
Sensor Technology ◽  
Control Technology ◽  
Testing Instrument ◽  
Total Consumption

Sensor technology and computer control technology are applied to automobile fuel consumption testing in the automobile industry developed countries, the function and precision of the test are developing and perfecting continually. In our country, automobile fuel consumption test mainly applies ordinary consumption test devices, that test item are single-chip, which is applied for testing the flow of time. The display of method mainly based on the pointer instrument and partially on circuit control, so the maintenance and reliability of the test does not excellent. We do research and develop the intelligent one which is called quick testing instrument for automobile fuel consumption, which applies sensor technology, computer control technology and advanced instrument technology, that can be applied for the testing for automobile fuel consumption and data show. It can improve the measurement precision of automobile fuel consumption and degree of automation, with the down cost as high cost-effective consequences. The test instrument can be used for testing instantaneous fuel consumption, average fuel consumption and accumulative total consumption of gasoline engine and diesel engine.

Smart Car – Accident Detection and Notification Using Amazon Alexa

2020 ◽  
pp. 391-407
Author(s):  
Lakshay Grover ◽  
V. B. Kirubanand ◽  
Joy Paulose
Keyword(s):  
Accident Detection ◽  
Car Accident

scholarly journals Closed Pan-talar Dislocation with Posterior Talar Process Fracture

2015 ◽  
Vol 1 (2) ◽  
pp. 32-35
Author(s):  
M Pramod Kumar ◽  
KM Gopinath ◽  
BN Roshan Kumar ◽  
GA Gautham Balaji
Keyword(s):  
Closed Reduction ◽  
Reduction Process ◽  
Road Accident ◽  
Review Of Literature ◽  
Open Injury ◽  
Accident Victim ◽  
Talar Fractures ◽  
The Right ◽  
Steinmann Pin

ABSTRACT Total dislocation of the talus has been reported as 0.06% of all dislocations and 2% of all talar fractures. It usually occurs from considerable violence. Total dislocation of the talus is frequently an open injury, or the skin may be tented over the dislocated talus leading to skin slough. Closed total dislocation of talus with posterior process injury is rare. The functional prognosis is poor due to osteonecrosis of the talus which develops in the majority of cases. Review of literature reported successful closed reduction in cases of closed pan-talar dislocation under anesthesia. However, there were few cases where there was difficulty in closed reduction. Operative technique has also been described in different reports of similar cases. Case report We present a case of pan-talar dislocation of the left talus in a 25-year-old road accident victim, with posterior talar process fracture. Reduction of dislocation was attempted in emergency department by external manipulation. Reduction process failed, and hence planned for reduction under anesthesia. It required a open reduction after a unsuccessful closed reduction attempt. The talus after reduction was found to be unstable hence, stabilized with trans-calcaneotalar Steinmann pin. At 1-year follow-up, the right ankle was pain free and stable. Motion was satisfactory. The talus after a follow-up of 1 year did not show any signs of subluxation or avascular necrosis. Conclusion The main obstacle to closed reduction appeared to be talus had button holed through dorsal fascia. The talus after reduction was found to be unstable hence stabilized with trans-calcaneotalar Steinmann pin. The management of the associated fracture will depend on many factors, particularly displacement of the fracture fragments. How to cite this article Kumar MP, Gopinath KM, Kumar BNR, Balaji GAG. Closed Pan-talar Dislocation with Posterior Talar Process Fracture. J Med Sci 2015;1(2):32-35.

Automatic Road Accident Detection Using Ultrasonic Sensor

2018 ◽  
Author(s):  
Usman Khalil ◽  
Adnan Nasir ◽  
S.M. Khan ◽  
T. Javid ◽  
S.A. Raza ◽  
...  
Keyword(s):  
Road Accident ◽  
Ultrasonic Sensor ◽  
Accident Detection

Car Accident Detection and Notification System Using Smartphone

2020 ◽  
Vol 17 (8) ◽  
pp. 3389-3393
Author(s):  
M. S. Roobini ◽  
Soujanya Mulakalapally ◽  
Navyasri Mungamuri ◽  
M. Lakshmi ◽  
Anitha Ponraj ◽  
...  
Keyword(s):  
Data Mining ◽  
Large Scale ◽  
Data Sets ◽  
Road Accidents ◽  
Repeated Item ◽  
Robust Clustering ◽  
Notification System ◽  
Large Scale Data ◽  
Accident Detection ◽  
Car Accident

This report shows the outcome by applying large scale data mining techniques on the Finnish roads. From the research study it is very difficult task to perform because the collected data have uncertainty, incomplete and error values. So the data exploration is a challenging task. The data used in the process have been collected from Finnish road administration data sets. The data used in the process have been collected from Finnish road administration data sets. The main target of our project is to look into practicability of Robust clustering, to find the associations and repeated item sets and applying apprehend methods for the analysis of road accidents. While the results display the selected mining techniques and methods were capable to the understandable patterns. To calculate the accident frequency count as a parameter /c-means algorithm is used to cluster the locations. To characterize the surface conditions association rule mining is used. data mining skills disclosed different environmental reasons associated with road accidents. Intersection on highways have been identified as a dangerous for fatal accidents.

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