How Flying Robots Might Prevent Deforestation - Summary & Analysis DRAFT#2

By Chen Jian Yeow

14th Feb 2021

According to the article "The Flying Robot Might Prevent Deforestation" (Morgen E. Peck,2012), flying drones are key in acting as a lookout to prevent and stop illegal activities in a forest. Illegal deforestation and fires were one of the events affecting the rainforest in Brazil. Peck suggests that drug trafficking and mining were also made to be easier due to low-level surveillance in the rainforest. Peck proposes the use of Quadrotor drones to navigate through the rainforests, acting as a lookout for illegal activities that are happening. Peck underlined the fact that Quadrotor drones in 2012 were capable to fly from side to side, avoid obstacles and even learn and adapt to changes on the go. Additionally, Quadrotor drones can sense the environment without direct connection to other drones, the goal of this project is to reduce or stop illegal activities. However, one key concern would be that the drones could potentially cause harm to the wildlife that its suppose to protect.

While the Quadrotor drones may be effective in detecting illegal activities in the day, but doing so at night would prove to be difficult for the current iteration on the Quadrotor drones.

An improvement on the Quadrotor drones could be by implementing Thermographic Cameras on the drone. This new function could then spot movement through heat signatures in the dense forest finding illegal activities taking place. According to Nature Marine Intelligence, drones using airborne optical sectioning can find humans in the forest at a rate of 90% by using a thermographic camera and "machine learning algorithm trained to identify humans".

Another improvement on the Quadrotor drone is by mounting microphones on them. These microphones could then be used to listen for specific sounds that are foreign to nature, relaying important timely information authorities to activities in the forest. Topher White mentioned that after his prototype worked on detecting illegal logging and is now able to "detect new types of sounds" like "trucks, gunshots and boats". At night these Quadrotor drones could be placed in prebuild strategic platforms around the forest canopies to detect these activities.

Another useful improvement is attaching high lumen lights on the Quadrotor drones. The high lumen lights could light up the forest floor where most illegal activities occur, this would further assist the authorities to locate the participants of these illegal activities. In the situation where the fire is used to clear the forest, the high lumen lights can also assist by providing increased visibility to the areas. According to the infographic (Firefighting infographic,2017), floodlights on drones are able "to search and rescue victims" implying it could spot illegal activities in the forests too.

Reference

Dronefly.com introduces an infographic for firefighting drone use applications. (2017, December 19). suasnews. https://www.suasnews.com/2017/12/dronefly-com-introduces-infographic-firefighting-drone-use-applications/

Firefighting infographic. (2017). Dronefly. https://www.dronefly.com/firefighting-drones-drones-in-the-field-infographic

FLIR. (2020, December). Researchers Develop Search and Rescue Technology That Sees Through Forest with Thermal Imaging. https://www.flir.com/discover/cores-components/researchers-develop-search-and-rescue-technology-that-sees-through-forest-with-thermal-imaging/

Peck, M.(2012). How Flying Robots Might Prevent Deforestation, http://mashable.com/2012/03/20/flying-robots-deforestation/

Peters, A. (2019, November 27). This network of microphones listens for chainsaws of illegal loggers in the rain forest. FastCompany. https://www.fastcompany.com/90435386/this-network-of-microphones-listens-for-the-chainsaws-of-illegal-loggers-in-the-rainforest

Schedl, D.C., Kurmi, I. & Bimber, O. (2020). Search and rescue with airborne optical sectioning. Nature Marine Intelligence 2, 783-790. https://www.nature.com/articles/s42256-020-00261-3