| Idea Name: |
Intelligent Signal |
| Slogan: |
Traffic Signal 2.0 Beyond Visual |
| Supervisor Name: |
Dr. Muhammad Tariq Saeed |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
RCMS |
| Supervisor Department: |
Computational Sciences & Engineering |
| Contact number: |
03028671230 |
| Email ID: |
[email protected] |
| Abstract: |
| Intelligent signal auto-adjusts timings of signal lights according to the flow of traffic and recognizes number plate of vehicles, record and report road accidents to authorities in real-time. |
| What is the unmet need in society that your idea will fulfill ? |
| In Pakistan, about 50% of vehicles are not registered. There is an unmatched need for a system that can help in regulating motor vehicle ordinance. Our automated system provides a solution to traffic police in maintaining traffic over the intersection of roads and also report illegal activities. |
| Who needs it ? How many would benefit ? |
| There are almost 24M registered vehicles and thousands of Traffic police offices in Pakistan that can directly benefit from the intelligent signals. The primary users of this system will be the traffic police department but this system can also Aid common citizens by providing them security. |
| How will the solution works |
| Computer vision-based Smart IoT traffic monitoring system that will automatically adjust the timings of the traffic lights according to the flow of traffic present on road intersection using Ai computer vision-based algorithms. Recognizes the number plates of the vehicles and keeps the record for the security of the area. Detects and reports malicious activity, road accidents to the relevant authorities in real-time. |
| Who are your competitors ? How is your solution different |
| Smart cities project is our local competitor. Our solution is unique and can have market leader benefit if we launch before our competitor. We are hopeful our product will be technically sound which can be an advantage over our competitor. |
| Status: |
new |
| Entry Date & Time: |
2020-12-20 (0750) |
