Animals Accidents Reduction Using AI

Animals Accidents Reduction Using AI 

Every species on Earth is important. They all play a role in keeping our ecosystems balanced. But now, these delicate balances are being threatened. Habitat loss, climate change, poaching, and illegal wildlife trade are just some of the problems wildlife face. We need to find new and effective ways to protect wildlife. The situation is urgent.

Stray animals are a growing problem in cities around the world. They are unable to find food and shelter, so due to that, they stay on roads, which present a dangerous hazard to road traffic and pedestrians alike. But today stray animals accident reduction using ai is possible. AI Video Analytics Software is capable of detecting stray dogs and other animals and capable of stopping accidents caused by stray dogs.

According to the data, there are 1,376 accidents caused by animals, which involve 804 dogs and 350 cattle. We often blame bad roads for road accidents and injuries, but nowadays the second most common reason for road accidents and injuries is stray animals. Stray animals are not the problem; these innocent animals are not getting proper shelter and food to survive, and for that reason, they have to come on the road in search of food and shelter.

To address this issue, many cities are turning to artificial intelligence (AI) video analytics to detect and alert municipal and animal health care departments. They can then respond to the alert by sending out animal health care workers to take care of the stray animals. By using stray animal detection, cities can help prevent accidents and injuries due to animals on the roads and promote smooth mobility.

An AI video analytics solution uses real-time data from sensors, cameras and GPS systems to prevent accidents. These can be accidents on the road by colliding with another vehicle or animal-related collisions. Especially at night, AI can easily detect animals from far an warn the user or the driver.

Alstom has together with Flox received SEK 3.3 million (EUR 290.000) in funding from Vinnova to conduct field tests of a groundbreaking AI system that prevents collisions between trains and wildlife. Every year, Trafikverket reports around 5,000 animal collisions in Sweden, and by reducing both accidents and damage to train vehicles while protecting wildlife, the project has the potential to revolutionise railway safety.

Harnessing the Digital Beast: AI in Wildlife Conservation and Control

In the vast wilderness of our planet, a new ally is emerging in the fight for wildlife conservation and control. This ally is not a new species discovered in the depths of the Amazon or the heights of the Himalayas, but a product of human ingenuity and technological advancement: Artificial Intelligence (AI). As we delve into the myriad ways AI is being utilized in wildlife conservation and control, we will explore how this digital beast is helping us understand, protect, and manage the diverse array of life that shares our world. From the depths of the oceans to the vast expanses of the African savannah, AI is revolutionizing our approach to conservation, providing us with tools and insights that were once beyond our reach.

Car Accidents Caused By Animals Statistics

·        According to the data mentioned earlier, majorly road accidents in India occur due to stray animals.

·        And it is the second-most common reason for accidents.

·        Stray dogs are responsible for 62% of animal accidents in India.

·        Cows and Buffaloes share 29% and 4% respectively of animal-related accidents.

Stray Animals Accident Reduction Using AI

·        In the monsoon and winter seasons heavy rain and fogs are two major reason that add up to animal-vehicle collision. The driver cannot see the animal on the road until the car gets really close to it.

·        By the time the driver tries to dodge or applies brakes – it is too late.

·        Therefore, an animal detection AI solution is the key to this problem.

·        Whether its day time, night time, foggy day or heavily raining, AI can easily detect stray animals on the road no matter however unclear the vision is for humans.

·        A perfect AI Video Analytics Solution that can detect stray animals on the road before well before the vehicle reaches a collision.

Benefits of Stray Animal Detection

·        Swift Alerts: An AI-enabled guardian is highly active, has a close watch to detect stray animals, and sends alerts in real time so that the respective authority can be alerted. No stray animal was left unattended.

·        Enhanced Safety and Mobility: With stray animal detection, our streets are safer for everyone. Accidents and injuries, often caused by unexpected encounters with stray animals, have dropped significantly. It also makes traffic flow smoother, making our streets safer and more efficient.

·        Empowering the Visually Impaired: Stray animal detection helps people who are blind or visually impaired navigate their surroundings safely by alerting them to the presence of stray animals so that potential hazards posed by stray animals can be avoided.

AI in Wildlife Conservation and Control: The News Perspective

In the rapidly evolving field of wildlife conservation, AI has been making headlines for its innovative applications and transformative potential. Let's delve into some recent news stories that highlight the use of AI in this sector.

The Andean Bear Project: AI for Endangered Species

The University of Liverpool, in collaboration with Chester Zoo, has embarked on a project to protect the endangered Andean bears using AI technology. The project involves the use of AI to analyze images and identify individual bears, which aids in monitoring their population and understanding their behavior. This initiative is a prime example of how AI can be used to protect endangered species and preserve biodiversity.

Monitoring the Health of Bees: AI to the Rescue

The University of Cambridge has been using AI to predict the health of bees. Given the crucial role bees play in pollination and maintaining biodiversity, their declining population is a cause for concern. The project uses AI to analyze the buzz of bees and predict their health and behavior. This innovative use of AI can help in early detection of diseases and timely intervention, thereby contributing to the conservation of bees.

These case studies underscore the transformative potential of AI in wildlife conservation and control. By leveraging AI, we can monitor and protect endangered species, predict and prevent illegal activities like poaching, and even monitor the health of critical species like bees. As we continue to innovate and refine these technologies, the future of wildlife conservation looks promising.

AI-powered CCTV systems for animal detection integrate artificial intelligence (AI) and machine learning (ML) algorithms with CCTV cameras to enhance detection accuracy and efficiency.

Key Features

1. Computer Vision: AI algorithms analyze video feeds from CCTV cameras to detect and identify animals.
2. Machine Learning: AI systems learn from data and improve their accuracy over time.
3. Object Detection: AI CCTV cameras can detect specific objects, such as animals, and alert users.
4. Facial Recognition: Some AI CCTV cameras can recognize individual animals, enabling tracking and monitoring.
5. Real-time Alerts: AI CCTV cameras can send real-time alerts to users when animals are detected.

Wildlife Conservation

1. Monitoring populations: AI cameras help track animal populations, habitats, and behavior patterns.
2. Species identification: AI algorithms can identify specific species, enabling targeted conservation efforts.
3. Poacher detection: AI cameras can detect and alert authorities to potential poaching activity.

Agriculture and Livestock

1. Animal health monitoring: AI cameras can detect early signs of illness or stress in livestock.
2. Predator detection: AI cameras can identify predators, such as wolves or wild dogs, and alert farmers.
3. Fencing and enclosure monitoring: AI cameras can detect breaches in fencing or enclosures.

Transportation and Infrastructure

1. Wildlife-vehicle collision prevention: AI cameras can detect animals near roads and alert drivers.
2. Airport wildlife management: AI cameras can detect birds and other wildlife near airports, reducing the risk of bird strikes.

Technology and Features

1. Computer vision: AI algorithms analyze images from cameras to detect and identify animals.
2. Machine learning: AI systems learn from data and improve their accuracy over time.
3. Infrared and thermal imaging: AI cameras can detect heat signatures, allowing for detection in low-light conditions.
4. Motion detection: AI cameras can detect movement and alert users to potential animal activity.
5. Deep Learning: AI algorithms use deep learning techniques, such as convolutional neural networks (CNNs), to analyze video feeds.
6. Edge Computing: AI-powered CCTV cameras can process data at the edge, reducing latency and improving real-time alerts.
7. Cloud Computing: AI-powered CCTV cameras can upload data to the cloud for further analysis and storage.

Benefits

1. Improved accuracy: AI cameras can detect animals more accurately than human observers.
2. Increased efficiency: AI cameras can monitor large areas and detect animals in real-time.
3. Enhanced safety: AI cameras can alert users to potential safety risks, such as wildlife-vehicle collisions.
4. Data collection: AI cameras can provide valuable insights into animal behavior and populations.

Applications

1. Wildlife Conservation: AI CCTV cameras can monitor wildlife populations, habitats, and behavior.
2. Agriculture and Livestock: AI CCTV cameras can detect predators, monitor animal health, and alert farmers to potential threats.
3. Airport Wildlife Management: AI CCTV cameras can detect birds and other wildlife near airports, reducing the risk of bird strikes.
4. Smart Cities: AI CCTV cameras can monitor urban wildlife populations and alert authorities to potential conflicts.

Source:

1.      https://timesofindia.indiatimes.com/india/stray-animals-second-biggest-reason-for-road-accidents-dogs-account-for-58-of-them-insurance-company-report/articleshow/93812664.cms

2.      https://timesofindia.indiatimes.com/city/guwahati/revolutionary-ai-technology-to-reduce-elephant-deaths-in-train-collisions/articleshow/114602279.cms

3.      https://zeenews.india.com/railways/ai-technology-to-prevent-elephant-deaths-due-to-train-collision-heres-tn-govts-plan-2497542.html

4.      https://www.railwaypro.com/wp/alstom-and-flox-to-test-ai-wildlife-detection-system-in-sweden/

5.      https://www.linkedin.com/pulse/how-ai-revolutionizing-wildlife-monitoring-automated-image-processing-jq8tf/