TrailGuard™ AI
TrailGuard AI is an anti-poaching facial recognition system that aims to stop poachers before they kill their prey. Developed in 2019 by RESOLVE, Intel and conservation technologist Steve Gulick, the system is intended to be used as a security system within national parks to identify, locate and stop poachers. Leveraging artificial intelligence algorithms, humans can be detected within images, compressing and relaying any human-featuring photo back to park authorities through mobile, radio or satellite LoRa networks. Multiple cameras can be set up throughout the park, connecting to one gateway. The information collected by TrailGuard AI also helps authorities understand the workings and patterns of poaching networks, helping enable further crackdowns on illegal wildlife trade. During its field-test at the Grumeti Reserve in Tanzania, the TrailGuard AI was able to identify members of a poaching network, leading them to the seizure of over 1,300 pounds of bushmeat and the arrest of 30 members. TrailGuard AI also has the potential to be used for the monitoring of other illicit activities, but has presently only been tested for use against poachers. As of early 2020, the team at RESOLVE is working on scaling the current prototypes in order to create affordable versions to ensure their widespread use.
Le Grange, S. Predicting Future Poaching Sites in African Reserves. Program Chair & Proceedings Editor: M. Afzal Upal, PhD Chair of Computing & Information Science Department Mercyhurst University 501 E 38th St Erie, PA, 16546, 15.
See also:
Dinerstein, E. (2019). Trailguard. Retrieved from https://www.resolve.ngo/trailguard.htm
Categories
Artificial Intelligence, Biodiversity, Ecological Monitoring, Illegal Resource Extraction, Internet of Things, Monitoring, Regulation, Visual Technologies
More Ideas
Air Pollution Robot
The dangers of air pollution to human health are well documented, though the traditional methodology of collecting and reporting on sample lags behind the need to keep abreast and regulate air pollution in a meaningful amount of time. The use of drones and robots have been identified by researchers as resources that can be tweaked […]
Artificial Life, Biodiversity, Climate Change, Ecological Monitoring, Industry/Natural Commodities, Lifestyle, Monitoring
Telematic Rivers
Erica Kermani’s artwork seeks to answer a central question: if rivers were seeing an equal, living entity, would humans take issues like climate change threatening them more seriously? In his year-long art exhibition in 2017, Kermani, in collaboration with Diana Salcedo & Jeana Chesnik, created a new forum of interaction between humans and rivers to […]
Climate Change, Ecological Monitoring, Lifestyle, Monitoring, Pollution, Visual Technologies
Co-occupied Boundaries
Art is easily found in nature but rarely is what considered art today inherently natural. The concept of co-occupied mediums that serve to be both functional for nature and aesthetically pleasing to people is being actively explored by Asya Ilgun and Phil Ayres, from the CITAstudio at The Royal Danish Academy of Fine Arts. In […]
Climate Change, Ecological Monitoring, Lifestyle, Monitoring, Pollution, Visual Technologies