We Built a Driveway Derby Detector Using the New Ring Appstore APIs

2026-01-08 · Source: ByteByteGo · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Internet of Things (IoT) & Connected Devices · Depth: Intermediate, short

Summary

A new Ring Appstore API allows third-party developers to subscribe to camera events, effectively turning Ring cameras into an app platform. A project demonstrates building a "Driveway Derby Detector" by leveraging these APIs. The system subscribes to vehicle detection events from a Ring camera, which triggers a backend process. This backend downloads a short MP4 video clip, uses a YOLO object detection model to locate the vehicle in each frame, and calculates its speed by mapping pixel movement to meters. The results, including vehicle speeds and associated video clips, are then displayed on a custom dashboard. This setup allows for monitoring vehicle speeds on a driveway, with potential applications extending to proactive safety alerts for speeding vehicles or children near roads, and even commercial uses like retail analytics or workplace safety.

Key takeaway

For AI Engineers exploring new IoT integration opportunities, the Ring Appstore APIs offer a direct path to build custom event-driven applications. You can subscribe to specific camera events like vehicle detection, process video clips with models like YOLO, and implement real-time analytics. Consider leveraging these APIs to develop proactive safety systems or specialized monitoring solutions, moving beyond basic alerts to create intelligent, responsive environments.

Key insights

Ring Appstore APIs enable third-party event subscriptions, transforming cameras into programmable platforms for custom detection and safety solutions.

Principles

• Camera events can trigger backend processing.
• Object detection models track movement for speed.
• Pixel-to-meter calibration enables speed estimation.

Method

Register a webhook for camera events (e.g., vehicle detection), download video clips, run a YOLO model for object tracking, calculate speed via pixel movement, and display results on a dashboard.

In practice

• Implement proactive safety alerts for speeding.
• Monitor children's proximity to roads.
• Analyze retail foot traffic patterns.

Topics

• Ring Appstore APIs
• Vehicle Detection
• YOLO Model
• Speed Estimation
• IoT Integration
• Proactive Safety

Best for: AI Engineer, Software Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by ByteByteGo.