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AI Based Wireless Traffic Light Detector using Image Classification in Machine Learning to Reduce Road Traffic Accidents: A case study of Uganda’s Road Traffic

J. N. Wanzala; M. R. Atim
Road traffic accidents in Uganda have led to many deaths. This unfortunately occurs to pedestrians, users of private and public means of transportations. Many solutions have however focused on for example: sensitization, and building wider roads. This study therefore, focused on using Artificial Intelligence in the traffic control. The results show that image classifier model can detect traffic lights with high accuracy. This implies that, the trained model can be employed in the traffic control system such that traffic control is automated so as to reduce on the driver errors that lead to road traffic accidents.
Select Volume / Issues:
Year:
2021
Type of Publication:
Article
Keywords:
Artificial Intelligence; Image Classification; Traffic Lights; Radio Frequency; Robotics
Journal:
IJECCE
Volume:
12
Number:
3
Pages:
85-93
Month:
May
ISSN:
2249-071X
Hits: 79

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