Federated TinyML & GeoAI: Edge AI Embedded Systems for Community-Assisted Smart City Pet Recovery
Introduction: Evolving Challenges in Pet Tracking & Privacy
Traditional pet tracking faces a dual challenge: achieving fast, accurate lost/panic detection while maintaining low battery consumption and robust false-alert suppression. Centralized model retraining exacerbates privacy concerns and incurs heavy uplink costs. This necessitated a privacy-first approach to IoT product engineering within a smart infrastructure solution framework.
Solution Overview: Federated Edge AI for Enhanced Behavioural Recognition
EurthTech's upgraded pet-collar system merges on-device TinyML classification with secure federated model updates. Core inference remains an AI-powered embedded system on the collar (quantised CNN / tiny transformer blocks). For continuous model improvement, devices upload encrypted model updates (gradients or weight deltas), which are securely aggregated by the server to produce a new global model pushed as a tiny delta OTA. This significantly reduces false alarms and preserves owner privacy, enhancing Predictive maintenance AI IoT for pets.
Technical Implementation: Edge AI, Embedded AI India & GeoAI
Building on previous successes, embedded systems development keeps core inference on-device using Edge Impulse / TAO + ONNX/LiteRT toolchains. Our Embedded AI India team implemented federated learning rounds, where devices upload encrypted model updates, preserving privacy and reducing full-data upload costs. When "escape/erratic" is flagged, the network escalates: raising GNSS frequency and posting anonymised "nearby sighting requests" to community apps, leveraging GeoAI for weighted triangulation to rank candidate recovery corridors.
Results & Impact: AI Engineering and Smart City Solutions
Pilots confirmed significant business benefits: fewer false "missing" alerts, longer battery life for the same detection fidelity, and faster community-assisted recoveries due to the integrated network. The federated approach keeps data in owner control while enabling better models over time, showcasing our advanced AI engineering solutions. This system defines a new standard for smart city solutions provider services in urban animal welfare and integrated community safety.
Scalability & Security: Motion-gated inference windows and opportunistic federated rounds (on Wi-Fi or charging) optimize battery consumption. OTA deltas use compressed diffs for minimal airtime. This secure and scalable architecture provides a critical component for a Digital twin smart city, integrating community intelligence with advanced geospatial engineering services for rapid and private recovery workflows.