AI REDGIO 5.0 Open Hardware Platform v2 - Revision history

Admino739mjm7: /* External Resources */

2024-09-09T12:16:18Z

External Resources

← Older revision		Revision as of 12:16, 9 September 2024
Line 100:		Line 100:
	== External Resources ==		== External Resources ==
	<ul>		<ul>
	<li>Documentation and code for the Open Hardware Platform v2 available in [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide~~/tree/f694d9b72700d16521f674a5176f3f592a3df66e~~ Github]</li>		<li>Documentation and code for the Open Hardware Platform v2 available in [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide Github]</li>
	<li>Created by [https://www.libelium.com Libelium (HOPU)]</li>		<li>Created by [https://www.libelium.com Libelium (HOPU)]</li>
	</ul>		</ul>

Admino739mjm7: /* External Resources */

2024-09-03T12:51:47Z

External Resources

← Older revision		Revision as of 12:51, 3 September 2024
Line 100:		Line 100:
	== External Resources ==		== External Resources ==
	<ul>		<ul>
	<li>Documentation and code for the Open Hardware ~~Platfrom~~ v2 available in [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/tree/f694d9b72700d16521f674a5176f3f592a3df66e Github]</li>		<li>Documentation and code for the Open Hardware Platform v2 available in [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/tree/f694d9b72700d16521f674a5176f3f592a3df66e Github]</li>
	<li>Created by [https://www.libelium.com Libelium (HOPU)]</li>		<li>Created by [https://www.libelium.com Libelium (HOPU)]</li>
	</ul>		</ul>

Admino739mjm7: /* External Resources */

2024-09-03T12:51:35Z

External Resources

← Older revision		Revision as of 12:51, 3 September 2024
Line 100:		Line 100:
	== External Resources ==		== External Resources ==
	<ul>		<ul>
	<li>~~Examples~~ and ~~guide~~ for ~~model onboarding on The~~ Open ~~Platform~~ available in [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide Github]</li>		<li>Documentation and code for the Open Hardware Platfrom v2 available in [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/tree/f694d9b72700d16521f674a5176f3f592a3df66e Github]</li>
	<li>Created by [https://www.libelium.com Libelium (HOPU)]</li>		<li>Created by [https://www.libelium.com Libelium (HOPU)]</li>
	</ul>		</ul>

Admino739mjm7: /* Instructions */

2024-09-03T12:38:24Z

Instructions

← Older revision		Revision as of 12:38, 3 September 2024
Line 83:		Line 83:

	=== Instructions===		=== Instructions===
			<p style="line-height: 1.5em">
	* Instructions on the various steps of the process (installation of libraries, WiFI configuration, model uploading through API, MQTT connectivity) are available [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/blob/master/readme.md here]</li>		* Instructions on the various steps of the process (installation of libraries, WiFI configuration, model uploading through API, MQTT connectivity) are available [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/blob/master/readme.md here]</li>
	* The code can be found [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/tree/master/ESP32-SEVER-API-AI_REDGIO here]</li>		* The code can be found [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/tree/master/ESP32-SEVER-API-AI_REDGIO here]</li>
			</p><br>

	'''*Note: Key Points and Limitations'''		'''*Note: Key Points and Limitations'''

Admino739mjm7: /* Usage */

2024-09-03T12:37:51Z

Usage

← Older revision		Revision as of 12:37, 3 September 2024
Line 82:		Line 82:
	<br>		<br>

	=== ~~Usage~~ ===		=== Instructions===


			* Instructions on the various steps of the process (installation of libraries, WiFI configuration, model uploading through API, MQTT connectivity) are available [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/blob/master/readme.md here]</li>
			* The code can be found [https://github.com/ImasDLibelium/AI-Regio-5.0-T5-OH-AI-Deployment-Guide/tree/master/ESP32-SEVER-API-AI_REDGIO here]</li>

	'''*Note: Key Points and Limitations'''		'''*Note: Key Points and Limitations'''

Admino739mjm7: /* Flow */

2024-09-03T12:33:44Z

Flow

← Older revision		Revision as of 12:33, 3 September 2024
Line 80:		Line 80:

	</p>		</p>
	~~<br>~~<br>		<br>

	=== Usage ===		=== Usage ===

Admino739mjm7: /* Flow */

2024-09-03T12:33:35Z

Flow

← Older revision		Revision as of 12:33, 3 September 2024
Line 52:		Line 52:
	*PubSubClient		*PubSubClient

	== Flow==		=== Flow===
	<p style="line-height: 1.5em">		<p style="line-height: 1.5em">
	From a high level, the actions tha take place within the provided code are the following:		From a high level, the actions tha take place within the provided code are the following:

Admino739mjm7: /* Flow */

2024-09-03T12:33:11Z

Flow

← Older revision		Revision as of 12:33, 3 September 2024
Line 52:		Line 52:
	*PubSubClient		*PubSubClient

	=== Flow===		== Flow==
	<p style="line-height: 1.5em">		<p style="line-height: 1.5em">
	From a high level, the actions tha take place within the provided code are the following:		From a high level, the actions tha take place within the provided code are the following:

Admino739mjm7: /* Flow */

2024-09-03T12:32:57Z

Flow

← Older revision		Revision as of 12:32, 3 September 2024
Line 63:		Line 63:
	<strong>1. WiFi Connection:</strong>		<strong>1. WiFi Connection:</strong>
	*The ESP32 connects to the WiFi network using the provided credentials.		*The ESP32 connects to the WiFi network using the provided credentials.
	<strong>Web Server Configuration:</strong>		<strong>2. Web Server Configuration:</strong>
	*The web server handles HTTP requests for uploading the model and receiving the JSON configuration		*The web server handles HTTP requests for uploading the model and receiving the JSON configuration
	#TensorFlow Lite Model Upload:		<strong>3. TensorFlow Lite Model Upload:</strong>
	##The model is uploaded via the /uploadModel endpoint.		*The model is uploaded via the /uploadModel endpoint.
	##The model is stored in a buffer and initialized for use in predictions.		*The model is stored in a buffer and initialized for use in predictions.
	#MQTT Configuration:		<strong>4. MQTT Configuration:</strong>
	##Configuration is received via the /configure endpoint.		*Configuration is received via the /configure endpoint.
	##The MQTT broker details, input and output topics, and input and output parameters are configured.		*The MQTT broker details, input and output topics, and input and output parameters are configured.
	#MQTT Broker Connection:		<strong>5. MQTT Broker Connection:</strong>
	##The ESP32 connects to the MQTT broker using the provided details.		*The ESP32 connects to the MQTT broker using the provided details.
	##Subscribes to the specified input topic.		*Subscribes to the specified input topic.
	#MQTT Message Handling:		<strong>6. MQTT Message Handling:</strong>
	##Incoming messages on the input topic are processed to extract input parameters.		*Incoming messages on the input topic are processed to extract input parameters.
	##The model is invoked to perform the prediction.		*The model is invoked to perform the prediction.
	##Prediction results are published to the output topic		*Prediction results are published to the output topic

	</p>		</p>

Admino739mjm7: /* Flow */

2024-09-03T12:31:14Z

Flow

← Older revision		Revision as of 12:31, 3 September 2024
Line 61:		Line 61:

	<p style="line-height: 1.5em">		<p style="line-height: 1.5em">
	#WiFi Connection:		<strong>1. WiFi Connection:</strong>
	##The ESP32 connects to the WiFi network using the provided credentials.		*The ESP32 connects to the WiFi network using the provided credentials.
	#Web Server Configuration:		<strong>Web Server Configuration:</strong>
	##The web server handles HTTP requests for uploading the model and receiving the JSON configuration		*The web server handles HTTP requests for uploading the model and receiving the JSON configuration
	#TensorFlow Lite Model Upload:		#TensorFlow Lite Model Upload:
	##The model is uploaded via the /uploadModel endpoint.		##The model is uploaded via the /uploadModel endpoint.