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DC Field | Value | Language |
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dc.contributor.author | Gohil, Sagar J | - |
dc.date.accessioned | 2022-01-19T08:46:48Z | - |
dc.date.available | 2022-01-19T08:46:48Z | - |
dc.date.issued | 2021-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/10473 | - |
dc.description.abstract | Nowadays the amount of vehicles on the roads is increasing so as the requirement for a good traffic monitoring system. There are some systems like license plat scanning, vehicle counting for traffic flow analysis, etc. But they have some limitations like the license plate is not scan properly or capture an angle where the license plate is not visible the identify the vehicle is very difficult. So we proposed a system that identifies a vehicle using CCTV(Closed Circuit Television) camera coordination. The object detection algorithm is used to identify the vehicle and then extract its characteristics. Using HSV(Hue- Saturation-Value) color space and fixed ROI(Region of Interest), the Color of the object and speed of the vehicle is identified. At the images of vehicle from different camera angle is taken and try to match the features of both the images results in the conclusion whether they are similar or not. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 19MCEI06; | - |
dc.subject | Computer 2019 | en_US |
dc.subject | Project Report 2019 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 19MCEI | en_US |
dc.subject | 18MCEI06 | en_US |
dc.subject | INS | en_US |
dc.subject | INS 2019 | en_US |
dc.subject | CE (INS) | en_US |
dc.title | Vehicle Identification Using CCTV Camera Coordination | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
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19MCEI06.pdf | 19MCEI06 | 18.09 MB | Adobe PDF | ![]() View/Open |
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