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                                               Photo by Pixabay Developing an end-to-end Over-the-Air (OTA) update architecture for IoT devices in equipment like escalators and elevators involves several components. This architecture ensures that firmware updates can be delivered seamlessly and securely to the devices in the field. Here's an outline of the architecture with explanations and examples: 1. Device Firmware: - The IoT devices (escalators, elevators) have embedded firmware that needs to be updated over the air. - Example: The firmware manages the operation of the device, and we want to update it to fix bugs or add new features. 2. Update Server: - A central server responsible for managing firmware updates and distributing them to the devices. - Example: A cloud-based server that hosts the latest firmware versions. 3. Updat...

  IoT (Internet of Things) : IoT refers to the interconnection of everyday objects, devices, and appliances to the internet, allowing them to collect and exchange data. These objects, often embedded with sensors and communication hardware, can include everything from smart thermostats and wearable fitness trackers to industrial machines and autonomous vehicles. IoT enables these devices to transmit data, receive commands, and interact with other devices or centralized systems, often with minimal human intervention. Whether it’s smart cities, wearable technology, robotics, autonomous vehicles, or any other new and emerging IoT sector, network connectivity is central to IoT’s advancement. OTA (Over-the-Air) Updates : OTA updates are a method of remotely delivering software updates and patches to devices or systems connected to the internet. This process allows for the seamless and efficient deployment of updates to devices without requiring physical access or manual intervention. OTA...

  Photo by Markus Winkler on Unsplash Often you need to implement Machine Learning application into the EDGE devices. So IoT devices running your machine learning or other artificial intelligence application required updates time to time when you update ML models or back end application or some other part of the application running on IoT. Over-the-Air (OTA) updates for IoT devices running machine learning applications refer to the capability of remotely updating the software and machine learning models deployed on IoT devices. This enables device manufacturers and developers to deliver bug fixes, security patches, feature enhancements, and even model updates to deployed devices without physically accessing or manually updating each device. Implementing OTA for IoT devices running machine learning applications involves the following key steps: 1. Remote Software Management: OTA updates require a robust infrastructure to remotely manage and distribute software updates to IoT devices...

  Photo by  Glenn Carstens-Peters  on  Unsplash Remote AI/Machine Learning application running on Raspberry Pi required to update whenever new files or models etc updated into the repo eg. GitHub We can use the Over The Air method to update them.  You should have a Python application running maybe with Flask or using another MVC. To run a Python Flask application as a server on a Raspberry Pi, you can follow these steps: Install Flask using pip. You can install Flask by running the following command in your terminal: pip install flask Create a Flask application in a Python script. Here is an example Flask application that responds with “Hello, world!” to all requests: from flask import Flask app = Flask(__name__) @app.route(‘/’) def hello_world(): return ‘Hello, world!’ if __name__ == ‘__main__’: app.run(debug=True, host=’0.0.0.0') Save the script to a file, for example /home/pi/my-flask-app.py. Start the Flask application by running the Python script in your te...