A research line developed at CITSEM is the application of image-processing surveillance systems for phenomena with impacts on the environment, including deforestation, fires and floods. In short, researchers propose these types of early detection systems in order to detect such events and prevent further environmental disasters.
In the case of deforestation, researchers suggest various algorithms that allow them to detect the fire and smoke generated during a forest fire as well as their fundamental characteristics (area, wind direction…). The algorithms have high accuracy in real time, and they have low computational load that allows them to address the problem in real time and implement such algorithms in autonomous systems (drones) and perform continuous monitoring.
A relevant aspect of the new algorithm, called the Forest Fire Detection Index (FFDI), is its capacity to detect fire from any perspective, including aerial. Additionally, its effectiveness has been proven by using the algorithm in non-forest environments.
The method could be used in real-time in unmanned aerial systems with the aim of monitoring a wider area than through fixed surveillance systems. This could result in more cost-effective outcomes than conventional systems implemented in helicopters or satellites. These drones could also reach inaccessible locations without jeopardizing people’s safety.
Welcome to drone day on the Adafruit blog. Every Monday we deliver the latest news, products and more from the Unmanned Aerial Vehicles (UAV), quadcopter and drone communities. Drones can be used for video & photography (dronies), civil applications, policing, farming, firefighting, military and non-military security work, such as surveillance of pipelines. Previous posts can be found via the #drone tag and our drone / UAV categories.
Adafruit has had paid day off for voting for our team for years, if you need help getting that going for your organization, let us know – we can share how and why we did this as well as the good results. Here are some resources for voting by mail, voting in person, and some NY resources for our NY based teams as well. If there are additional resources to add, please let us know – adafruit.com/vote
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.