Case Study : Deploy AI application in IoT Edge computer

Step 1:  Run MQTT client in IoT Edge

In this case Jetson Nano is used. 

Local support will be given  to run python version of MQTT client to work with IBM Watson IoT platform. 

Step 2:  Run TCP/IP socket Server to connect with IoT Nodes 

Embedded board  is working as  IoT node.  ARM CPU is used in IoT Node.  Local support will be given in the form of Sample code  for IoT Node.

Step 3:  Run DC motor Control app in IoT Node

Embedded board with ARM cpu is used as  a IoT node. 

Local support will be given in the form of Sample code  for IoT Node.

Step 4:  Create IoT device in IBM watson IoT platform 

Local support will be given  to create IoT device in ibmcloud.  But user need to have account in ibmcloud.com , in case not then new account will be open during event for each user in  https://cloud.ibm.com/login

Step 5:  Create App in  Node-Red

 Local support will be given  to create app in Node-Red in ibmcloud 

Step 6:  AI Application in IoT Edge

Run Image Classification app in IoT edge  and run a motor if given image is Banana.  And also update MQTT broker in IBM watson iot platform such that MQTT broker can publish this news on Banana to app in Node-Red