khaledsabry97 / Argus

[IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI.

Date Created 2020-01-21 (4 years ago)

Commits 250 (last one 4 months ago)

Stargazers 62 (0 this week)

Watchers 4 (0 this week)

Forks 11

License mit

Ranking

RepositoryStats indexes 589,134 repositories, of these khaledsabry97/Argus is ranked #403,324 (32nd percentile) for total stargazers, and #374,926 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #76,554/117,584.

khaledsabry97/Argus is also tagged with popular topics, for these it's ranked: computer-vision (#2,272/3101), real-time (#450/572), detection (#364/449), yolo (#260/353), autonomous-vehicles (#138/181)

Other Information

khaledsabry97/Argus has 1 open pull request on Github, 41 pull requests have been merged over the lifetime of the repository.

All Topics

cctv ieee yolo crash roads detect accidents collision detection real-time road-crashes research-paper road-accidents computer-vision monitoring-tool traffic-analysis autonomous-vehicles collision-estimation detects-road-accidents

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7 commits on the default branch (master) since jan '22

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updated: 2024-11-18 @ 01:46am, id: 235407489 / R_kgDODggIgQ