Recently in Italy, Dessap Loic one of our Seeed’s Rangers, was selected by MakerFaire Rome to showcase his project Robotsave bot and its various activities from  October 25-27, 2024. 

Maker Faire Rome the European Edition #MFR2024 is a large event that regroups makers from all around the world who share in common, imagination and creativity that becomes a reality, making innovation simple by showcasing various projects in electronics, artificial intelligence, robotics, virtual and augmented reality, gaming, music, art, education and much more

Robotsave is an innovative farm bot embedded with advanced sensors that collect essential soil and weather data. These sensor data are transmitted via LoRaWan to a server for quick analysis and predictions.

The system provides valuable insights into crop yield potential based on specific soil conditions and the precise locations or areas.

It also delivers real-time fertility assessments, recommending optimal water requirements and suitable natural fertilisers, all accessible through an intuitive mobile and Pc application.  

In addition to RobotSave, he showcased the TmeEducation Arduino board, Seeed Studio SenseCap series, XIAO series, Vison AI and various STEM activities, IoT projects, and workshops we are conducting in Cameroon.

Violet Su was present to assist by performing a live demonstration of the Xiao esp32 Ai vision together with SensCap watcher, she also SeeedStudio’s various products and Academic support,

It was such an amazing opportunity and beautiful experience to be selected to exhibit our project among more than 100 exhibitors with other tech gadgets at Maker Faire Rome.

We had such amazing feedback and made new contacts with visitors and other exhibitors who would like to test our product for their projects.

We extend our heartfelt thanks to Makerfaire Rome-The European Edition, Seeed Studio, TmeEducation,  Alison Yang and Robotsave Education for their support, sponsorship, and the opportunity they provided. A special thanks to all the visitors who stopped by my booth, Q9

Recently in October at the Polytech Nantes in France,  Dessap Loic one of our Seeed Studio’s Ranger had the privilege given by the GeM laboratory in the framework project of the CNRS #AI4EB led by Nantes University, University of Dschang-Cameroon and Centrale Nantes to present during the Conference: Artificial Intelligence Earth Buildings the Topic:

Methods and Techniques of an Intelligent Way to Collect Data in Civil Engineering using IoT, to explore innovative approaches for optimising Data gathering processes and the application of Artificial Intelligence,

He covered several key points, including:

• Sensor implementation, Sensor Data Collection and Transfer using various modes of communication, which are  Wireless( Wifi, BLE, GSM, GPRS, 4G,5G, LoRaWan, LiFi etc) and wire(USB Serial, RG 45, RS4085, ADsl, Optical fibre, etc).  We demonstrated how to define and choose an appropriate architecture, incorporating an IoT network from the  LoRa Nodes (SenseCAP Industrial sensors from Seeed Studio) to the SenseCAP LoRa Gateway and Servers then to the end user (user interface).

• Use Case projects: I presented practical applications such as crack measurement, tracking and bridge vibration monitoring, highlighting how IoT can provide real-time insights for infrastructure management.
• AI-Driven Predictive Maintenance: I also showcased how artificial intelligence can be leveraged to predict and anticipate structural failures, optimize maintenance schedules, and enhance the longevity of civil engineering projects.

• IoT projects are done in Cameroon and France:
  • In France, Caen: Neac Industry Setting up LoRaWan Network to collect sensor data and monitor an autonomous Navigation Electric shuffle Boat.*photo*
  • In Cameroon, Douala: KandaWeather Launching of Weather balloon Radio-Sonde and installation of SenseCAP Weather stations and Industrial Sensors to collect and provide decentralised weather data to predict the 12h rain forecasting to help farmers, Weather companies, and Air traffic controllers. 
  • In Cameroon, at the Enset University of Douala and Softpower.

• He performed a demo showcasing SenseCAP industrial sensors and LoRa Gateway from Seeed Studio and TME Education Arduino board to measure and send environmental data over LoRaWan and visualise the data over the Internet through the Node-Red platform using MQTT protocol.

This experience has reinforced the significant potential that AI and IoT hold for transforming civil engineering and improving infrastructure resilience.

I am grateful to : Dr, Eng  Aurelle Tchagna, Ndoumin Serge, MattKlaus, Dr Nabil issaadi, Stephanie Bonnet and Researchers from GeM laboratory, Inchtech Sarl,

Conclusion:

By combining IoT’s data collection capabilities with AI’s predictive and analytical power, civil engineering is moving toward a future of smarter, safer, and more sustainable infrastructure. This synergy not only improves operational efficiency but also significantly reduces risks, costs, and environmental impacts.