Resources:
SenseCAP A1101 – LoRaWAN Vision AI Sensor | TinyML Edge Intelligence – Seeed Studio
The SenseCAP A1101 LoRaWAN Vision AI Sensor is an advanced, ultra-low-power edge AI device designed to bring compact, real-time image recognition capability to remote and distributed environments. Powered by TinyML technology, this sensor executes AI inference directly on-device—without relying on cloud resources—making it ideal for high-efficiency, privacy-preserving, and low-bandwidth applications.
Equipped with LoRaWAN long-range connectivity, the A1101 ensures reliable data transmission over several kilometres while maintaining extremely low power consumption. Its rugged industrial design allows it to operate in diverse outdoor and indoor environments, enabling real-time object detection, presence monitoring, and visual classification with minimal maintenance. Perfect for smart agriculture, environmental monitoring, security applications, building automation, and industrial IoT, the SenseCAP A1101 is an all-in-one solution for deploying scalable, intelligent sensing networks.
Key Features
- TinyML Edge AI Vision Processing
Performs image classification and object detection locally with fast inference and high energy efficiency.
- LoRaWAN Long-Range Connectivity
Enables ultra-low-power wireless data transmission over long distances for remote IoT deployment.
- Ultra-Low Power Edge Device
Designed for long-term, battery-powered operation ideal for outdoor and standalone installations.
- Privacy-Centric Design
Processes all visual data on-device, transmitting only essential results—no images uploaded.
- Industrial-Grade Build
Robust housing supports operation in outdoor and harsh environments.
- Flexible AI Model Support
Allows the deployment of custom TinyML models for application-specific vision tasks.
- Part of the SenseCAP Ecosystem
Easily integrates with SenseCAP Mate App, SenseCAP Portal, and LoRaWAN networks.
- Versatile Application Scenarios
Suitable for livestock monitoring, visitor counting, intrusion detection, crop analysis, and smart automation.