Hazard Response Mission Pack: October Workshops Recap
As you may recall, Seeed launched a Kit adressing environmental disasters and emergencies. That was just three weeks ago, and we received a big amount of applications from communities of workers and enthusiasts willing to play around Advanced Perception Systems. BTW, we are pausing the process of application for now as we have to aplications to read and choose from 🙂
What do we mean by “Advanced Perception Systems”?
Advanced Perception Systems refer to an integrated set of technologies designed to enable machines, software, and devices to perceive, interpret, and understand complex data from their surroundings much like the way humans do. These systems leverage a combination of sensors, algorithms, and artificial intelligence (AI) to process information from various sources, making sense of the environment in real-time. In this case, our Hazard Response Missions Pack is the mix of:
- A LoRaWAN gateway, allowing sensors to communicate with a node and broadcast their readings to SenseCAP Cloud or your favorite Cloud
- SenseCAP S2103 LoRaWAN® CO2, Temperature, and Humidity and SenseCAP S2105 – LoRaWAN® Soil Moisture, Temperature and EC Sensor
- Wio Tracker 1110 and several Grove Sensors to make your own tracking device.
- reComputer J3010-Edge AI Device with NVIDIA Jetson Orin™ Nano 4GB module with webcam and several pre-trainsed models, to bring TinyML machine learning to the edge
- Multiple SenseCAP T1000 LoRaWAN Trackers, able to monitor movements and activities on the field
- SenseCAP Indicator to visualize the data
Recap of October Workshops
It’s been great to go back to Maker Faire Rome – European Edition to give a talk about the Hazard Response Mission Pack. The main questions we got were heading towards the idea of Connected System, and how to integrate different sensors in the Sensecap Cloud.
The audience of the event is preatty diverse – as of the workshops I hosted in October. We had Vigili del Fuoco (italian fire fighters) posing questions alongside students from latest years of highschool, not to mention interesting startups that are actively creating solutions of one of Europe’s big summer tragedies: fires.
The workshops I hosted were two. One was at the very same event – lasting few hours – another one was longer (20 hours), with students from ITS ICT. This second, longer workshop allowed me and my students to deepen and test these different technologies, making us integrating Hazard Response Mission Pack with many different sources, truly experimenting the concept of Advanced Perception System.
Sensecraft AI
The first thing we put our hands on was the incredible SenseCraft AI, launched by Seeed early in September. This tool basically offers an open-source inference server and web UI to deploy any YOLOv8 to NVIDIA Jetson Orin devices and visualize captured streams, without any line of code.
Given the fact that the server hosts an MQTT broker as well, we were able to subscribe to each reading, besides going through the models and fine-tune it. Here we tested the datasets against some fire footages.
SenseCAP sensors, Trackers and Cloud
Another big chapter of our testing was understanding the (easy) pairing process SenseCAP devices ties to the Cloud. We installed the sensors we had all over the school, monitoring smoking areas and plants. We were able to have real data coming in and processing among the lessons.
All of a sudden we had our Wio tracker dev board, our T1000 trackers AND several senseCAP sensors talking to our Cloud, together with our Hazard Response Mission Pack. We were able to achieve this level of integration in few hours of teaching. As a teacher, this allowed me to work more on the ways we were able to process all that data, giving meaning to it.
The Power of Data
So. (The moment of vent and criticism by Davide Gomba lol) What if I want to take this data out of this platform? Unfortunately I’ve often experienced- in my professional life as an educator – the bad habit of making super hard for a user to use YOUR data outside producer’s platform. Kind of a Data lock-in.
Well, I have to say Seeed’s made things really simple and clear here. Besides APIs creation and managment inside of SenseCAP Cloud infrastructure, they released a node-red node to make this data popping out and being available for your project or prototype. This really made the course roll, because we had the possibility to process data together in the way we wanted.
Where to go next?
I guess the next steps is me being travelling around Italy and my beloved Europe to show around the benefit of Advanced Perception Systems and this implemantation of Hazard Response Mission Pack in different scenarios, togetether with many different communities that already applied. Stay Tuned!
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