Seeed Studio SenseCAP A1101 - LoRaWAN Vision TinyML Edge AI Sensor is a TinyML Edge AI enabled smart image sensor. It supports a variety of AI models such as image recognition, people counting, target detection, meter recognition etc. It also supports training models with TensorFlow Lite. Feature Ultra-Low Power and Powerful Himax Camera: 400Mhz DSP, Maximum camera frame rate 640*480 VGA 60 FPS, Local inferencing with SenseCAP A1101 Vision TinyML Edge AI Sensor Low Power and Long Range Transmission: Down to 2.3uWh sleep mode power consumption, powered by Wio-E5 LoRaWAN modules, transfers data up to miles High Data Security by Edge Computing: Local image inferencing and transfers the final result data to the Cloud, suitable for applications that require limited data transmission and high data privacy with SenseCAP A1101 Easy to Visualize Data: Few clicks to display and manage data via SenseCAP Mate App and SenseCAP Dashboard, wide compatibility with other third-party tools High Industrial Protection Grade: -40 ~ 85℃ operating temperature and IP66 rating, suitable for indoor and outdoor deployment of Seeed Studio SenseCAP A1101 LoRaWAN Vision TinyML Edge AI Sensor Easy for Scalable Deployment: 1min to add and configure the device by scanning the device QR code, low LoRaWAN network cost and maintenance cost ensure business scalability What can SenseCAP A1101 do? SenseCAP A1101 Vision TinyML Edge AI Sensor is a product that needs developers' secondary development in order to deploy in a real-world application, and it enables users: 1) to test SenseCAP A1101 with the two demo models provided in the product (people detection, and meter recognition) and experience Vision AI application; 2) to collect images using SenseCAP A1101 Vision TinyML Edge AI Sensor and generate a dataset through an annotate platform (e.g.: RoboFlow); 3) to train and generate their own models through third-party AI training tools and deploy them to SenseCAP A1101; 4) to cooperate with an AI industry partner on dataset generation, model training, algorithm developing, etc. to get customized and deployable models for specific application usages and deploy them in the SenseCAP A1101 Vision TinyML Edge AI Sensor AI Model Training Process With operating temperature from -40 to 85℃ and IP66 waterproof grade, Seeed Studio SenseCAP A1101 LoRaWAN Vision TinyML Edge AI Sensor is suitable for outdoor and harsh environments IoT applications. Meanwhile, we provide the SenseCAP all-in-one solution for this device which supports the rapid configuration of the Bluetooth APP, fast connection to gateways, and Cloud services. Travel Data through SenseCAP Cloud for Free With SenseCAP Mate App and SenseCAP Cloud, it is very easy to get and utilize data with few clicks, and they also support wide compatibility with other third-party tools. Through the plain and easy tutorials, you can connect the sensors through the SenseCAP Cloud and travel the data by LoRaWAN within 10 minutes. TinyML Demo Models Provided for Quick Test Embedded Human Body Detection and Meter Recognition TinyML model demos for a quick test and product experience with SenseCAP A1101 Vision TinyML Edge AI Sensor. Human Body Detection Demo Meter Recognition Demo Applications IoT into the Wild The theme of Seeed Studio's new product launch in 2022 is "IoT into the Wild". Check low-power sensors to ultra-long-range gateways fully featuring Edge AI and LoRaWAN. 【About SenseCAP】Among the first launch of the Seeed Studio SenseCAP industrial IoT (IIoT) product series, SenseCAP focuses on wireless environmental sensing applications: smart agriculture, precision farming, and smart city. It consists of hardware products (sensors, data loggers & gateways), software services (SenseCAP Portal, mobile App, open dashboard), and an API for device & data management. Part List SenseCAP A1101 - LoRaWAN Vision TinyML Edge AI Sensor *1