AI-Powered Crowd Counting for Large-Scale Events (Drones + Computer Vision)
Budget: $250 – $750 USD
I need a crowd-counting solution for mega-events (e.g., Carnival, concerts with 200K+ attendees) using drones and AI. The goal is to validate an MVP combining:
- Drone-captured video feeds
- Computer Vision APIs (Google Vision, YOLOv8, Crowd Counting models, or your suggestions)
- Real-time dashboard for density analysis and safety monitoring.
**Technical Requirements:**
1. Proficiency in **Python** and computer vision frameworks (OpenCV, YOLOv8, TensorFlow/PyTorch).
2. Experience integrating AI/ML APIs (e.g., Google Vision, Roboflow) and video/image processing.
3. Familiarity with **drone video capture** (DJI SDKs, flight planning) and edge computing (optional but a plus).
4. Ability to build a lightweight dashboard (Streamlit, Power BI, or similar) for real-time data visualization.
**Expected Deliverables:**
✅ System to process drone footage and generate **people count + density heatmaps**.
✅ Integration with at least **1 computer vision API** (e.g., Google Vision).
✅ Technical documentation + validation report from a test event.
**Why Join This Project?**
- **Real-world impact:** Your solution will be tested at Brazil’s largest events.
- **Long-term potential:** Opportunity for ongoing collaboration to scale the product.
**How to Apply:**
1. Share your portfolio (GitHub, past AI/computer vision projects).
2. Briefly outline your approach (e.g., API selection, ML model design).
3. Specify your availability and estimated timeline.
- Drone-captured video feeds
- Computer Vision APIs (Google Vision, YOLOv8, Crowd Counting models, or your suggestions)
- Real-time dashboard for density analysis and safety monitoring.
**Technical Requirements:**
1. Proficiency in **Python** and computer vision frameworks (OpenCV, YOLOv8, TensorFlow/PyTorch).
2. Experience integrating AI/ML APIs (e.g., Google Vision, Roboflow) and video/image processing.
3. Familiarity with **drone video capture** (DJI SDKs, flight planning) and edge computing (optional but a plus).
4. Ability to build a lightweight dashboard (Streamlit, Power BI, or similar) for real-time data visualization.
**Expected Deliverables:**
✅ System to process drone footage and generate **people count + density heatmaps**.
✅ Integration with at least **1 computer vision API** (e.g., Google Vision).
✅ Technical documentation + validation report from a test event.
**Why Join This Project?**
- **Real-world impact:** Your solution will be tested at Brazil’s largest events.
- **Long-term potential:** Opportunity for ongoing collaboration to scale the product.
**How to Apply:**
1. Share your portfolio (GitHub, past AI/computer vision projects).
2. Briefly outline your approach (e.g., API selection, ML model design).
3. Specify your availability and estimated timeline.