Automatic accident detection algorithm
نویسندگان
چکیده
60% of motor vehicle crash fatalities took place because crashes are not reported within the golden hour which is a deciding factor weather person will survive or not. An accident can take through number external factors like road rage, poor infrastructure etc. This paper proposes detection algorithm be detected irrespective reason crash. GPS co-ordinates, gyroscope, magnetometer, accelerometer data used by algorithm, combines to identify able accurately detect and save millions precious human lives.
منابع مشابه
WreckWatch: Automatic Traffic Accident Detection and Notification with Smartphones
Traffic accidents are one of the leading causes of fatalities in the US. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the scene. Eliminating the time between when an accident occurs and when first responders are dispatched to the scene decreases mortality rates by 6%. One approach to eliminatin...
متن کاملAn Automatic Fingerprint Classification Algorithm
Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...
متن کاملAn Automatic Fingerprint Classification Algorithm
Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...
متن کاملAutomatic PAM Clustering Algorithm for Outlier Detection
In this paper, we propose an automatic PAM (Partition Around Medoids) clustering algorithm for outlier detection. The proposed methodology comprises two phases, clustering and finding outlying score. During clustering phase we automatically determine the number of clusters by combining PAM clustering algorithm and a specific cluster validation metric, which is vital to find a clustering solutio...
متن کاملAlgorithm for Automatic Detection of Ecg Waves
An accurate measurement of the different electrocardiogram (ECG) intervals is dependent on the accurate identification of the beginning and the end of the P, QRS, and T waves. Available commercial systems provide a good QRS detection accuracy. However, the detection of the P and T waves remains a serious challenge due to their widely differing morphologies in normal and abnormal beats. In this ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International journal of engineering in computer science
سال: 2022
ISSN: ['2663-3582', '2663-3590']
DOI: https://doi.org/10.33545/26633582.2022.v4.i1a.60