AI Vision Solution Kit with AWS Cloud Connection

The AI Vision Solution Kit enables developers to prototype IoT vision applications and facilitates the deployment and (re)-training process of ML-models, saving time for users setting up an integrated embedded vision system for optimal performance.

Users have access to pre-trained ML models that are available in the cloud and can be deployed on the kit using container technology. Furthermore, users can make use of (re)-training functionalities. Since the quality of the ML inference depends, not only on the training, but also on the processing unit and input data from the camera, Basler ensures that the pre-trained models are optimized for the target hardware of the kit. Once the model is optimized, customers can download the compiled model and deploy it on the target hardware, the NVIDIA Jetson Nano. The ML model deployment process is based on Amazon SageMaker and SageMaker Neo. While the inference is done on the edge device, resulting meta data is sent to the AWS cloud, using AWS IoT Core.

The kit's embedded hardware consists of the robust and industry-proven Basler dart BCON for MIPI camera with a resolution of 13 MP. The processing board is based on NVIDIA's Jetson Nano, optimized for AI applications due to its strong GPU.

The kit is available and can be ordered here: https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/ai-vision-solution-kit/.

You purchased an AI Vision Solution Kit? You have the opportunity to claim an AWS Voucher here. Simply send us an email including your name, company name, application and the serial number of your kit. Please send the email to: AWSBASLER@baslerweb.com

Please find our step-by-step documentation for the key functionalities in the following:

Starter Documentation

How to create, train and deploy a Machine Learning Model?

How to optimize a Machine Learning Model?

FAQ