Sensecap A1101 AI Vision Sensor [SL4]

Description:

Introducing the SenseCAP A1101 Vision AI Sensor - the ultimate solution for developers, engineers, enthusiasts, and solution integrators looking to explore the world of TinyML and edge AI. Whether you're a machine learning developer looking for a low-cost and reliable hardware platform, a software/hardware engineer eager to learn about TinyML, or simply an enthusiast looking to experience AI without writing a line of code, the SenseCAP A1101 is the perfect choice.

Featuring Himax's high-performance, low-power AI vision solution, the SenseCAP A1101 supports the Google TensorFlow Lite framework and multiple TinyML AI platforms. With ultra-low power consumption, long-range transmission capabilities, and high data security through edge computing, the SenseCAP A1101 is ideal for both indoor and outdoor use.

Easily visualize data with just a few clicks using the SenseCAP Mate App and SenseCAP Dashboard, and enjoy wide compatibility with other third-party tools. The sensor is also built to withstand harsh conditions with its industrial protection grade and -40 ~ 85 operating temperature and IP66 rating.

Scalable deployment is a breeze with the SenseCAP A1101, with the ability to add and configure devices in just 1 minute by scanning a QR code. And with low LoRaWAN network and maintenance costs, business scalability is ensured.

Take advantage of the two demo models provided in the product - people detection, and meter recognition - to test and experience the power of Vision AI. Or collect images using SenseCAP A1101 and generate a dataset through an annotate platform, train and generate your own models, and even cooperate with an AI industry partner on dataset generation, model training, and algorithm development to get customized and deployable models for specific applications.

Open the door to the new TinyML world with the SenseCAP A1101 Vision AI Sensor - the ultimate solution for your edge AI needs.

Features

Ultra-Low Power and Powerful Himax Camara : 400Mhz DSP, Maximum camera frame rate 640*480*VGA 60 FPS, Local inferencing

Low Power and Long Range Transmission: Down to 2.3uWh sleep mode power consumption, p owered 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.

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

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.

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 LoRa within 10 minutes.

Specifications

SenseCap A1101 FAQ

What are the detailed specifications of the camera in the SenseCAP A1101?

The camera in the SenseCAP A1101 is a HiMax HM0360 sensor with a lens size of 1/6", 3P+1R lens construction, F/No 2.45%, full-color 30M pixel, maximum frame rate of 640*480 VGA 60 FPS, optical FOV of 82, and EFL of 1.98mm.

What is the ideal camera setup for image collection with the SenseCAP A1101?

To achieve the best image quality, it is recommended to collect images within a range of 1m to 5m. To ensure optimal results, the camera should be facing the objects directly and have sufficient lighting (avoiding reflected light and overexposure), while also avoiding large movements or vibrations during image collection.

How far can the SenseCAP A1101 detect objects and produce accurate results?

Based on our testing of the people detection model, we have achieved a 70% degree of confidence within a range of 1m to 5m.

Is it possible to change the camera or customize the SenseCAP A1101 sensor?

Yes, and if you have large quantity demands, please contact us for more info.

How long does the battery last in the SenseCAP A1101?

The battery life will depend on the frequency of image collection and data upload. Based on our testing, if the A1101 collects images and uploads data every minute, the battery can last for approximately 9.5 months.

Is the battery rechargeable or does it support solar energy charging?

The battery is not rechargeable. If you have large quantity demands for a customized version, please contact us for more info.

What can I do to improve the results of the SenseCAP A1101 sensor?

The AI results depend on various factors including the quality of the images, the accuracy of the annotation, the way the dataset is generated, the model training process, and the algorithms used. To improve the results of the SenseCAP A1101, it is recommended to use the sensor's camera to collect images directly instead of using existing images shot by other devices or datasets purchased from third parties. This is particularly important when working with a relatively small dataset. Additionally, ensure that your image collection settings are optimal, including the right exposure and angle towards the objects.

What is the difference between the Grove Vision AI and the SenseCAP A1101 sensor?

The Grove Vision AI Module is provided in the SenseCAP K1100 Sensor Prototype Kit and requires development with a mainboard with an MCU (e.g. Wio-Terminal or Arduino Uno). The Grove Wio-E5 module is required to connect to the mainboard if LoRaWAN transmission is needed. If low power consumption is not a major consideration, it can also connect to the Cloud via WiFi. On the other hand, the SenseCAP A1101 - LoRaWAN Vision AI Sensor is an industrial-level sensor with an IP66 grade industrial-level enclosure and battery, which has a Wio-E5 LoRaWAN module and MCU embedded.The SenseCAP A1101 sensor is very convenient to add to the SenseCAP Mate App and Dashboard and deploy the application once the model training is completed.

Will SenseCAP be developing more AI-related sensors in the future?

Currently, we only have the SenseCAP A1101 Vision AI Sensor