Lite weight AI model to process video feeds
Budget: $750 – $1,500 USD
- Lite weight AI model to process video feeds
- Should be able to run on lite weight hardware
- Input methods (RTSP feeds, Video folders, Single video files)
- Formats (all commonly available video formats)
- Output - comma delimited Data Stream , CSV file
- Detections to be done from the video
1. unique people count , no double counting, take care of the occlusions (i.e people crossing across)
2. detected people direction
3. Gender
Important Note : This is a small project. Budget mentioned in the post is what it is. Those asking for budget to begin with will not be considered.
- Should be able to run on lite weight hardware
- Input methods (RTSP feeds, Video folders, Single video files)
- Formats (all commonly available video formats)
- Output - comma delimited Data Stream , CSV file
- Detections to be done from the video
1. unique people count , no double counting, take care of the occlusions (i.e people crossing across)
2. detected people direction
3. Gender
Important Note : This is a small project. Budget mentioned in the post is what it is. Those asking for budget to begin with will not be considered.
Related categories:
Python
Machine Learning (ML)
Artificial Intelligence
Image Processing
Deep Learning