Real-Time Person Detection System with YOLO
Budget: ₹12,500 – ₹37,500 INR
Description:
We are looking for a developer to build a real-time person detection system using YOLO in Python.
The system should:
Detect multiple people in a video feed (live camera or video)
Assign a unique ID to each person
Keep the same ID for a person while they are inside the frame
If the person goes out of the frame and comes back, they should get the same ID again
Handle cases where people overlap or walk side-by-side
Requirements:
Use YOLO (v5 or v8) for person detection
Assign and manage stable IDs
Handle re-identification when the same person reappears
Write clean and modular Python code
Use OpenCV or similar for video handling
Deliverables:
A working Python script or module
Input: video or camera feed
Output: real-time detection with bounding boxes and ID labels
(Optional) Save sample output frames for review
We are looking for a developer to build a real-time person detection system using YOLO in Python.
The system should:
Detect multiple people in a video feed (live camera or video)
Assign a unique ID to each person
Keep the same ID for a person while they are inside the frame
If the person goes out of the frame and comes back, they should get the same ID again
Handle cases where people overlap or walk side-by-side
Requirements:
Use YOLO (v5 or v8) for person detection
Assign and manage stable IDs
Handle re-identification when the same person reappears
Write clean and modular Python code
Use OpenCV or similar for video handling
Deliverables:
A working Python script or module
Input: video or camera feed
Output: real-time detection with bounding boxes and ID labels
(Optional) Save sample output frames for review