Actcast is an IoT platform that connects physical events to web services using edge-based deep learning inference. It allows users to deploy AI models on devices like Raspberry Pi to analyze sensor data (e.g., camera images) locally, triggering actions such as notifications via webhooks.
Key Features
- Edge computing reduces data transfer and server costs while minimizing privacy risks.
- Supports Raspberry Pi, a low-cost and widely used edge device.
- Links physical world events to the web for building custom IoT solutions.
How It Works
Users run deep learning inference on edge devices to detect specific patterns or objects (e.g., cats, human faces) from sensor input. Detected events are then sent to web services via webhooks, enabling real-time notifications and automated responses.
Key Benefits
- Reduces data transfer and server costs via edge computing
- Minimizes privacy and confidential data leakage risks
- Supports low-cost and popular Raspberry Pi devices
- Simplifies linking physical events to web services