| Idea Name: |
Autonomous Surveillance |
| Slogan: |
Autonomous surveillance using deep learning |
| Supervisor Name: |
Salah ud Din |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
CAE |
| Supervisor Department: |
Avionics Department |
| Contact number: |
03212830111 |
| Email ID: |
[email protected] |
| Abstract: |
| In this project, we represent an autonomous surveillance system for security purposes in order to mitigate the burden on humans and incorporate machine usage. |
| What is the unmet need in society that your idea will fulfill ? |
| My system will perform surveillance task autonomously and give an indication using SMS alert on its own without human intervention |
| Who needs it ? How many would benefit ? |
| military, bank, organizations |
| How will the solution works |
| At first, the Camera stream is fed into the algorithm where it assigns a static background with a threshold value and contour area, whenever motion is detected it will change the threshold value and show the detected object with a contour around the object. On the other side with the help of a neural network, it will perform classification as well and classify the object and send an sms alert |
| Who are your competitors ? How is your solution different |
| It is secure as we are not using IP cameras which are easily hackable. |
| Status: |
new |
| Entry Date & Time: |
2021-01-14 (0803) |
