Blackspot-Liso

Blackspot-Liso
Author
Kamulegeya Grace Bugembe
Release
2020-08-13 13:20:327
Adopters
0
Collaborators
0
Budget
0
Amount Raised
0
Sectors
Web Application, Embedded/IoT System
Blackspot-Liso is an intelligent system that helps to overcome challenges in monitoring road traffic and implementing traffic rules in Uganda. It relies on the Tensorflow machine learning library to analyze video streams of moving cars. The video is captured using an IP Camera. The cameras are placed near the target blackspots. The cameras send/stream the recorded video to a Blackspot-Liso server that analyzes the video stream for traffic offenses committed. The server records the data into a database for the streaming applications for the traffic officers to access it. Traffic accidents in Uganda have been on the increase over the years and the major causes being human factors like over speeding and reckless driving according to recent reports. This is a challenge to the traffic police who are mandated to ensure road safety by implementing traffic rules. While motorists have read and mastered the traffic rules, a challenge comes in implementing them
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A number of blind spots exist on our roads