We have successfully completed our IoT Smart Building Capstone Project. Yaaay!!
My colleague Pok and I would like to thank The AIoT Canada organization for their support and for helping us to find a sponsor for our project. Thank you so much!
This work would not be possible without the technical support of our project sponsor, Jeffrey Dungen (reelyActive), who work actively to provide us with technical advice and equipment to archive the goals.Here is a brief about the solution:
1- Environment Control: here, we used Pareto Anywhere middleware to collect the temperature and humidity sensor data and send it to the dashboard (ThingsBoard). The software is easy to install on Raspberry pi; all we had to do was follow up the instructions on this page
. also, it's compatible with Node-Red thru a pre-configured pareto-anywhere-socketio
node, but because we already used Thingsboard as our main dashboard, we forwarded the data from Node-Red to Thingsboard using JSON and HTTP Request node.
2- Smart Parking and Number Plate Recognition System: We built an AI model using Yolov5, torch and TensorFlow to detect and recognize the number plate.
3- Lighting Control: Allows the users to control the lights from anywhere.
4- Security Camera: We built an AI model to detect People only and send SMS notifications to the user in case of any intrusion is detected.
5- Occupancy Tracking: here, we used the security camera AI model to identify the number of people in the room at any time.
6- Fire Alarm system: we used a flame sensor to detect the fire and send an SMS notification to the user.Future Work:
We will continue working with Pareto Anywhere middleware and try to build a full HVAC IoT control system.Finally:
this was our first step in the IoT world and would like to improve our work, we are open to any suggestions/recommendations that could help us to be better.
Dashboard screenshot attached.