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AIoT project example - Hybrid cloud object detection tutorial combine AWS and QNAP NAS (using AWS Greengrass + QNAP QIoT Suite + QNAP QuAI with Raspberry Pi Camera)

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  You need to prepare : AWS Account Raspberry Pi USB webcam Scenario-1 Collect data to gateway and then make decision in public cloud IoT device to Gateway(QNAP NAS): Camera --> AWS Greengrass IoT device --> AWS Greengrass Core --> QIoT Suite Gateway(QNAP NAS) as local AIoT interface: QNAP QIoT -> QNAP QuAI  Gateway(QNAP NAS) to public cloud: AWS Greengrass Core Lambda --> AWS Cloud --> AWS S3 bucket Step-1 : Prepare AWS Greengrass Core Install AWS Greengrass App in QNAP NAS from App center Setup your AWS Greengrass Group & Core in QNAP AWS Greengrass App. Please refer this link for more details : https://www.qnap.com/en/how-to/tutorial/article/how-to-setup-aws-greengrass-on-qnap-nas/ Create  “SendGGImageToQIoT”  &  “QIoTIntegration”  AWS Greengrass Lambda functions as shown below. For this Demo we are using Node.js based Lmabda function. You should also update it’s configuration setting’s Memeory limit and timeout. Please find Demo Lambda source codes inside