Posted On: Jun 26, 2020
AWS IoT Device Tester for AWS IoT Greengrass now includes Machine Learning (ML) inference tests for AWS IoT Greengrass devices. AWS IoT Device Tester for AWS IoT Greengrass includes dependency checks and end-to-end tests for Amazon SageMaker Neo DLR, TensorFlow and Apache MXNet ML frameworks. The latest version of AWS IoT Device Tester also provides the ability to stop the execution of tests on the first test case failure, enabling you to halt test execution and debug failures on detection of first test failure.
You can use the latest AWS IoT Device Tester for AWS IoT Greengrass to qualify your AWS IoT Greengrass devices supporting ML inference for inclusion in the AWS Partner Device Catalog. AVA-5500 AI Edge Vision System from ADLINK and Leopard NX Box Camera from Leopard Imaging are among the first devices to use AWS IoT Device Tester v3.1.0 for AWS IoT Greengrass and qualify for Machine Learning (ML) inference. You can also use the latest AWS IoT Device Tester for AWS IoT Greengrass to validate if your AWS IoT Greengrass devices can run ML inference and interoperate with AWS IoT services.