baetyl-remote-mqtt service . . . . . . . . . . . . . . . . . . . . . . . . . . 72 11 Image capturing and AI model inference with Video infer Service 81 11.1 Workflow . . . . . . . . . . . . . . . . . . . . . . Infinite, EasyEdge, TSDB, IoT Visualization) to provide data calcu- lation, storage, visible display, model training and many more abilities. • Service Deployment on Demand: Baetyl adopts containerization This document explains our workflow and work style. 3.1 Workflow Baetyl use this Git branching model. The following steps guide usual contributions. 1. Fork Our development community has been growing

Message Synchronize between baetyl-hub and Baidu IoTHub via Remote Service Image capturing and AI model inference with Video infer Service Development How to write a python script for Python runtime How [https://cloud.baidu.com/product/iotviz.html]) to provide data calculation, storage, visible display, model training and many more abilities. Service Deployment on Demand: Baetyl adopts containerization and our workflow and work style. Workflow Baetyl use this Git branching model [https://nvie.com/posts/a-successful-git-branching-model/]. The following steps guide usual contributions. 1. Fork Our development

[https://cloud.baidu.com/product/iotviz.html]) to provide data calculation, storage, visible display, model training and many more abilities. Service Deployment on Demand: Baetyl adopts containerization and our workflow and work style. Workflow Baetyl use this Git branching model [https://nvie.com/posts/a-successful-git-branching-model/]. The following steps guide usual contributions. 1. Fork Our development

Infinite, EasyEdge, TSDB, IoT Visualization) to provide data calcu- lation, storage, visible display, model training and many more abilities. • Service Deployment on Demand: Baetyl adopts containerization This document explains our workflow and work style. 3.1 Workflow Baetyl use this Git branching model. The following steps guide usual contributions. 1. Fork Our development community has been growing

Sample Scenarios • IOT • Edge: Data local filter/aggregation • Cloud: Global aggregation • AI • Cloud: Model training, face recognition • Edge: Face detect Some of services are moved from Cloud to Edge Can

Sample Scenarios • IOT • Edge: Data local filter/aggregation • Cloud: Global aggregation • AI • Cloud: Model training, face recognition • Edge: Face detect Some of services are moved from Cloud to Edge Can