How AI-Based Deterrent Systems Are Protecting Wildlife on England’s Railways
Introduction
In recent developments, an AI-based deterrent system has been implemented to protect wildlife, particularly deer, from the dangers posed by railway crossings. With the increase in incidents involving animals, this innovative technology has proven to be a game-changer, saving nearly 6,000 deer within a year. This blog will explore how this system works, the impact it has had so far, and its future potential.
What is a Deterrent System?
A deterrent system is a tool or method used to stop something bad from happening by making it less likely or less appealing. It works by detecting when something or someone is about to do something undesirable, like crossing into a dangerous area, and then taking action to scare them away or stop them.
For example, a system might use alarms or lights to keep animals away from train tracks, preventing accidents. The main goal is to keep things safe by discouraging unwanted actions.
The Need for a Deterrent System
Railways often intersect with rural and forested areas, which are natural habitats for deer and other wildlife. The railway lines can be perilous for these animals, leading to frequent accidents. Data shows that there were over 1,400 reports of animals on the tracks in a single year, with deer being the most common. The need for a reliable solution to prevent such incidents became apparent, prompting the development and installation of the AI-based deterrent system.
How the AI-Based Deterrent System Works
The deterrent system uses advanced AI technology to detect when a deer approaches the railway tracks. Upon detection, the system activates both audible and visual alarms designed to scare the animal away. This process ensures the deer is diverted from the tracks, minimizing the risk of collision with oncoming trains. A camera within the system continues to monitor the deer’s movement until it is safely away from the danger zone. This AI-based deterrent system is not only effective but also a non-invasive way to protect wildlife.
Stories: Wildlife Saved by AI
In the past three years, more than 32,000 animals, including several large species, have been killed on railway tracks, with nearly 3,500 deaths reported in just the first half of this year. Additionally, 60 elephants have been killed over the same period.
The pilot phase of this deterrent system, conducted at Stoke Junction near Stoke-on-Trent and later expanded to Little Bytham near Grantham, has shown remarkable results. At Stoke Junction, over 3,100 deer were successfully deterred, while Little Bytham saw nearly 2,800 deer saved. These numbers highlight the effectiveness of the AI-based deterrent system in saving lives, both animal and human. The positive outcomes have led to plans for further rollouts across more railway routes.
Future of AI in Wildlife Protection
With the success of the AI-based deterrent system, Network Rail and other stakeholders are optimistic about the future. The technology not only enhances safety for animals but also contributes to the overall safety of train passengers and crew. As AI continues to advance, we can expect more sophisticated and widespread use of such systems, ultimately leading to fewer wildlife-related incidents on railways.
Conclusion: A Win-Win for Wildlife and Rail Safety
The implementation of the AI-based deterrent system marks a significant step forward in using technology for wildlife protection. By preventing deer from crossing dangerous railways, this system saves lives and reduces accidents, making railways safer for everyone. As this technology continues to evolve, its potential to protect even more wildlife across various regions will only grow, proving that AI can indeed save lives in more ways than one, but can AI take better decisions than humans?
