Freelancer Needed for Real-Time Vehicle Monitoring Using LiDAR and Axis PTZ Camera
Budget: $8 – $15 USD
I'm looking for a freelancer who can help me automate vehicle monitoring in urban environments using AID (Automatic Incident Detection) logic. The system should utilize a LiDAR system and an Axis PTZ camera to dynamically respond to vehicle behavior.
Key tasks will include:
- Programming the camera to zoom in on stopped vehicles detected by the LiDAR system.
- Returning the camera to its default position when the vehicle resumes movement.
- Ensuring real-time response with minimal delay.
- Implementing coordination between the LiDAR and PTZ camera based on AID or similar event-driven logic.
- Creating a solution that is robust, reliable, and scalable for future enhancements.
Ideal candidates should have experience with:
- LiDAR systems and their integration with cameras.
- Programming Axis PTZ cameras.
- Implementing AID logic or similar event-driven systems.
- Working in urban monitoring environments.
Skills in real-time system design, camera programming, and expertise in vehicle monitoring systems will be highly valued. The goal is a seamless, automated vehicle monitoring system that enhances our capacity to monitor urban traffic incidents.
Key tasks will include:
- Programming the camera to zoom in on stopped vehicles detected by the LiDAR system.
- Returning the camera to its default position when the vehicle resumes movement.
- Ensuring real-time response with minimal delay.
- Implementing coordination between the LiDAR and PTZ camera based on AID or similar event-driven logic.
- Creating a solution that is robust, reliable, and scalable for future enhancements.
Ideal candidates should have experience with:
- LiDAR systems and their integration with cameras.
- Programming Axis PTZ cameras.
- Implementing AID logic or similar event-driven systems.
- Working in urban monitoring environments.
Skills in real-time system design, camera programming, and expertise in vehicle monitoring systems will be highly valued. The goal is a seamless, automated vehicle monitoring system that enhances our capacity to monitor urban traffic incidents.