Flox uses local AI to guide wildlife away from railways and airports
Flox Intelligence described devices that identify nearby wildlife and choose sounds to move animals away from hazardous infrastructure. Images are processed on the device, and responses vary to limit habituation. The company says about 150 units operate across three continents. Installed equipment serves sites such as railways and airports, while vehicle-mounted software remains a development ambition.
Artificial Intelligence··Midday
Sounds respond to the animal a camera identifies
Swedish wildlife-technology startup Flox Intelligence uses cameras and sound to move animals away from hazardous infrastructure. A motion sensor activates its device; a camera then supplies images to AI running locally. The device identifies the animal and selects a sound appropriate to its species. It varies the response because repeated signals can become familiar to wildlife. TechCrunch’s reporting on October 13 carries the description of the system.[1]
Installed units serve railway and airport sites
The company says Flox operates approximately 150 units across Australia, Europe and North America. Railway corridors, airfields, parks and farms are among its deployment sites. Battery-powered devices can be attached to poles and trees. The accompanying software displays where units are installed and the animal activity they detect. It also provides data for biodiversity monitoring and regulatory reporting.[1]
Vehicle use remains a development goal
Flox emerged in 2020 from work at KTH Royal Institute of Technology, a research institution in Sweden. Chief executive Sara Nozkova previously worked in transportation. The company describes licensing work with equipment manufacturers including train maker Alstom. Making its software portable to trains, cars and drones remains a longer-term ambition. The installed units process animal recognition and deterrent decisions on site rather than transferring those tasks to cloud computing.[1]
