Social distancing detector
Social Distancing Detector system has not any specific objective. Indeed the success of social distancing measures that are implemented over an extended period may depend on ensuring that people maintain social contact from a distance. Some other objectives are. Maintain social distance between peop
2025-06-28 16:29:34 - Adil Khan
Social distancing detector
Project Area of Specialization Artificial IntelligenceProject Summary- Social distancing detector is used to detect the social distance among humans as we know to control this panademic of Covid19 the only way to maintain physical distance and wear a mask
- So we proposed a solution to this problem by introducing social distancing detector that moinitor the social distance among humans if the distance among humans is less than 6 feet then and people are not wearing mask then it produces a highlit.
- It will be helpfull in messy and crowdy environment such as malls and offices where it is difficult to monitor social distance and become the main cause of Covid spread
- Our proposed software is used to detect the people voilaiting the SOP's by surveillance cameras that are installed for live video streaming.
- Then image processess frames per second.
- Our system is trained with different data set that helps to distinguish between people who are wearing mask and mainting social distance or not.
- Then this processed image will be analyzed and people who wear mask and maintin social distance indicated by green mark and the people who haven't wear mask and distance among them is less then 6 feet and 2 meter is inidcated red.
- Alaram beeps at the user interface at each iteration when the social distancing is voilated.f
Social Distancing Detector system has not any specific objective. Indeed the success of social distancing measures that are implemented over an extended period may depend on ensuring that people maintain social contact from a distance. Some other objectives are. Maintain social distance between people. Detecting the People violating the rule of social distance Highlighting the people that are violating
Main objective of Social Distancing Detector as follows:
• To provide a system with a user-friendly environment which is simple to understand and efficient to use.
• To provide a complete solution to he social distanceing situation and monitor peoples movement.
• With the help of this solution we can reduce close contact, and thereby reducing the spread of a contagious diseases.
• With the help of AI it will dectects people movement / activity. Which will be helpful to contain various diseases.
Project Implementation MethodWe used different techniques such as deep learning ,OpenCv along with deep neural network COCO dataset and YOLO v3 object detecrion algorithms.
Our implementation method start with the image processing of live streaming frames per seconds are processed and trained model with different data set recognize the faces with and without mask and determine whether the distance among each human is 6 feet , 2 meter or not.
Benefits of the ProjectOur proposed software is used to control the spread of contagious diseases. as the name suggests, social distancing implies that people should physically distance themselves from one another, reducing close contact, and thereby reducing the spread of a contagious disease (such as corona virus). Social distancing is crucial to preventing the spread of disease. Using computer vision technology based on OpenCV and YOLO-based deep learning we are able to estimate the social distance of people in video streams. Once an object is detected, classification techniques can be applied to identify a human on the basis of shape, texture or motion based features. In shape-based methods, the shape related information of moving regions such as points, boxes and blocksb are determined to identify the human
Technical Details of Final Deliverable- To provide a system with a user-friendly environment which is simple to understand and efficient to use.
- To provide a complete solution to he social distanceing situation and monitor peoples movement.
- With the help of this solution we can reduce close contact, and thereby reducing the spread of a contagious diseases.
- With the help of AI it will dectects people movement / activity. Which will be help ful to control various disease spread.
- Ip camera's are installed and environment will be monitored and acoording to the SOP's.
- People voilaiting the SOP's will be highlited at each time
- You can work freely and easily in and monitored environment.
- Fast processing of frames per second.
- Identify variations in shapes at each moment while moving and walking etc
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 75000 | |||
| Hd surveillance cameras | Equipment | 4 | 10000 | 40000 |
| Alaram | Equipment | 1 | 5000 | 5000 |
| Sensors | Equipment | 1 | 20000 | 20000 |
| Printing posters | Miscellaneous | 1 | 1000 | 1000 |
| Switches,battery and devices | Miscellaneous | 3 | 3000 | 9000 |