REAL TIME SOCIAL DISTANCE MONITOR AI APPLICATION

SIVA SHANKAR S

SIVA SHANKAR S

Chennai, Tamil Nadu

1 0
  • 0 Collaborators

I have developed a Social Distance Monitoring application using YoloV4 and darknet database. This AI application can be implemented in any intel architecture using the IntelOpenVINO toolkit. ...learn more

Project status: Published/In Market

Artificial Intelligence

Intel Technologies
OpenVINO

Code Samples [1]

Overview / Usage

In this project, an AI application is developed using the YOLOV4 darknet. The uniqueness of this project, we can implement in RaspberryPi 3 B+ model along with Intel Movidius NPU - Intel Neural Computerstick2 via tinyyolo.

Methodology / Approach

Due to COVID 19 Pandemic, we need to maintain social distance. In order to maintain social distance, this developed application can be used to monitor it.

Methodology :

1.Calculating EuclideanDistance between two points.

2.Converting center detection coordinates into rectangular coordinates.

3.OpenCV, draw box methodology.

4.Person filter algorithm

5.Social distance criteria

Technologies Used

Tinyyolo, Tensorflow, Keras, OpenVINO ToolKit,RaspberryPi2,IntelComputer neuralStick2

Repository

https://github.com/SIVASHANKAR-S/NewProjects/tree/master/DEEPLEARNING%20-%20PROJECTS/SocialDistanceMonitorApp

Comments (0)