Wildlife Detection & Conservation

The Challenge

Country parks host diverse wildlife, such as monkeys and boars, leading to increased human-wildlife conflicts, property damage, and safety concerns. Traditional methods, like park rangers, have failed to prevent dangerous encounters

Our Solution

AI-powered Cameras: High-resolution cameras with AI image recognition placed in high-risk areas
Motion Sensors: Infrared sensors to detect animal movement in low visibility
Automated Alerts: Real-time notifications are sent to park authorities and visitors via a mobile app and digital signboards
Data Analysis: Continuous tracking of animal movements for informed park management decisions

Project Details

The Goal

Our initiative aims to create a real-time detection and alert system to monitor these wild animals, enhancing public safety, reducing conflicts, and supporting conservation through data collection.

The Result

Enhanced Safety: Real-time alerts have significantly lowered the risk of human-wildlife encounters
Better Conservation Management: Collected data allows authorities to adjust policies to protect wildlife
Increased Visitor Awareness: Alerts educate the public on wildlife interactions, promoting responsible behaviour
Scalability: The system's success allows implementation in other parks facing similar wildlife challenges

Unlock Intelligence for Long-Term Improvement

Behavioural Mapping: Data analysis revealed common animal movement patterns, peak intrusion times, and migration trends
Risk Zoning: Historical heatmaps enabled categorisation of high-risk zones and optimisation of deterrent placements
Species Profiling: AI analytics catalogued species types and frequencies, supporting ecological management and policy planning
Environmental Correlation: Cross-referencing animal activity with weather or seasonal changes helped refine predictive models
Policy and Design Recommendations: Insights guided fencing design, land use planning, and sustainable cohabitation policies

Key Results

Project Info