The objective is to develop a single, modular AI model for edge devices that can perform multiple real-time video analytics tasks, including customer flow analysis, incident detection, security monitoring, and compliance tracking, while being optimized for edge hardware and ensuring GDPR compliance.

Tasks and Activities:

1. Model Development:

• Build a shared backbone AI model with task-specific outputs for modular functionalities.
• Optimize the model for edge devices by implementing quantization and pruning techniques.

1. Edge Integration:

• Develop containerized modules for dynamic task activation on Balena OS.
• Implement real-time processing for video analytics tasks like object detection, tracking, and incident alerts.

1. GDPR Compliance:

• Integrate face-blurring and anonymization features into the model for privacy protection.

1. Performance Testing and Optimization:

• Test and optimize the model across various edge hardware scenarios (e.g., single or multi-camera setups).
• Ensure the system supports OTA updates for easy deployment and maintenance.

Deliverables:

• A fully integrated, modular AI model capable of performing multiple tasks on edge devices.
• A containerized system for easy deployment, management, and updates via Balena OS.
• A GDPR-compliant, real-time video processing system with dynamic task activation and resource allocation.

Shared Backbone AI Model:

• Learners are expected to build and deliver a single modular AI model with a shared backbone capable of handling multiple video analytics tasks (e.g., object detection, customer flow, incident detection).

Optimized Edge AI System:

• Deliver an optimized AI model, incorporating techniques such as quantization and pruning, to ensure efficient performance on edge devices.

Containerized AI Modules:

• Develop and deliver containerized AI modules that allow dynamic task activation, packaged for deployment on Balena OS.

GDPR-Compliant Features:

• Integrate and deliver face-blurring and anonymization capabilities to ensure the AI system complies with GDPR regulations.

Performance Testing Report:

• Complete and deliver a performance testing report, detailing how the system performs across different edge hardware setups, including single and multi-camera configurations.

OTA Update System:

• Implement and deliver an OTA (Over-the-Air) update mechanism for seamless updates to the AI model and system on edge devices.

Final System Deployment:

• Deliver the fully integrated, tested, and containerized AI system capable of performing multiple real-time video analytics tasks on edge devices.