Product description: SenseCAP A1101 - Vision AI sensor - LoRaWAN - Seeedstudio 101990962
SenseCAP A1101 Vision AI is the TinyML Edge AI intelligent imaging sensor. It supports many AI models, such as image recognition, people counting, target detection, measuring device recognition, etc. It also supports training models with TensorFlow Lite . The device combines TinyML AI technology and LoRaWAN long-range transmission to enable a cost-effective, high-performance AI solution for both indoor and outdoor use. SenseCAP A1101 is equipped with Himax 's powerful AI solution, which supports Google's TensorFlow Lite platform and multiple TinyML AI platforms. The sensor requires a SenseCAP gateway to work properly.
The manufacturer has prepared a detailed user's guide to help you start working with the device - check it out!
SenseCAP A1101 - Vision AI Sensor.
Smart Imaging Sensor Module - SenseCAP A1101.Main features of SenseCAP A1101
- Ultra-low power consumption and powerful Himax camera. 400 MHz DSP, the maximum frame rate of the camera is 60 fps at 640 x 480 px VGA.
- Low-power, long-range transmission . Power consumption in sleep mode up to 2.3 μWh, powered by Wio-E5 LoRaWAN modules, transmits data over distances up to several km.
- High data security thanks to Edge Computing. Uploading final data to the cloud, suitable for applications that require limited data transmission and a high level of data privacy.
- Easy data visualization. Just a few clicks to view and manage your data with the SenseCAP Mate App and SenseCAP Dashboard, broad compatibility with third-party tools.
- High degree of industrial protection. It operates from -40°C to 85°C and has an IP66 rating, suitable for indoor and outdoor use.
What can SenseCAP A1101 do?
The SenseCAP A1101 is a device that requires secondary developer development to be deployed in a real application and enables users to:
- test the SenseCAP A1101 with the two demos provided in the product (people detection and meter recognition) and familiarize yourself with the Vision AI app
- collecting images with SenseCAP A1101 and generating a dataset via an annotation platform (e.g. RoboFlow)
- train and generate your own models using external AI training tools and implement them in SenseCAP A1101
- work with an AI industry partner on dataset generation, model training, algorithm development, etc. to obtain customized and deployable models for specific application uses and implement them in SenseCAP A1101
Block diagram.
Recognition of people by SenseCAP A1101.
Use of SenseCAP A1101
With the SenseCAP Mate and SenseCAP Cloud app, it's very easy to get and use data with just a few clicks. The sensor is widely compatible with other third-party tools.
Built-in TinyML model demos detect the human body and recognize measurement devices for a quick test and familiarization with the product.
Sensor application examples:
- Recognition of people
- Counting people
- Automatic reading of parameters from the meter
- Face recognition
- Detection of specific objects
- Gesture recognition
SenseCAP A1101 Vision AI Specifications
- vision AI:
- ML Framework: TensorFlow Lite / PyTorch
- AI hardware acceleration: DSP 400MHz
- Model resolution: 192 x 192 px
- Camera
- Camera field of view: diagonal 82°
- Camera resolution: 30W pixel
- Model: A1101
- Microcontroller: Wi-E5
- Supported Protocol: LoRaWAN v1.0.3 Class A
- Built-in Bluetooth: parameter change app
- LoRaWAN Channel Plan: IN865 / EU868 / US915 / AU915 / AS923 / KR920 / RU864 (supports 7 plans)
- transmission power: 19 dBm
- Sensitivity: -136 dBm for SF12 BW = 125 kHz
- Communication range: from 2 km to 10 km (depending on the terrain)
- Sealing class: IP66
- Operating temperature: -40°C to 85°C
- Operating humidity: 0% to 100% RH
- Battery Life: Varies by model and recognition wakeup frequency
- Battery capacity: 19Ah
- Battery type: standard size D SOCI2
- Probe length: 5 m
- Weight: 280g
Kit contents
- SenseCAP A1101
- Handle
- Self-drilling screws KA 4 x 20 mm
- Quick User Guide
Kit contents.
Useful links
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