Avacam provides an industrial landslide monitoring platform that combines rugged, weather-resistant time-lapse cameras with AI-powered software for continuous, remote surveillance of terrain movement. The system offers real-time dashboards, split-image comparison tools, and automated alerts for malfunctions, enabling proactive risk management for infrastructure and communities. Its devices are designed for extreme conditions and include edge computing options for on-site data processing.
Funding
Funding not disclosed
Founders
Product
Problem
Landslides pose significant risks to infrastructure, communities, and human safety, yet traditional monitoring methods often require frequent on-site inspections and are limited by harsh weather conditions. Delayed detection of terrain movement can lead to catastrophic failures, making continuous and reliable surveillance essential for effective risk prevention.
Solution
Avacam provides an integrated landslide monitoring platform that combines industrial-grade, weather-resistant time-lapse devices with AI-driven software for continuous, remote surveillance. The system captures high-resolution images and sensor data around the clock, transmitting them to a cloud-based platform where machine-learning algorithms analyze terrain changes and predict potential risks. Users access real-time dashboards, customizable alerts, and detailed reports, enabling proactive decision-making without the need for constant physical site visits. The platform also includes a split-function for side-by-side image comparison and PDF report generation for stakeholder communication, ensuring comprehensive and actionable insights.
Target Audience
Primary customers include civil protection authorities, public bodies, engineering firms, and construction companies responsible for infrastructure safety and landslide risk management in mountainous or unstable terrain.
Features
- Rugged, weather-resistant time-lapse cameras (e.g., GEO T8, T12, T20, T41) with remote-controlled varifocal lenses and solar-power options for autonomous operation
- Edge computing capabilities on select devices for on-site data processing and reduced bandwidth dependency
- AI-powered software for predictive analytics, anomaly detection, and automated alerts for system malfunctions or terrain shifts
- Cloud platform with real-time dashboards, chronological photo galleries, and split-view comparison tools for visual analysis
- Customizable reporting engine that generates professional PDF reports with charts, graphs, and site-specific summaries
- Privacy-preserving image processing that automatically masks faces and sensitive data to comply with regulations
- Optional integration with Starlink for remote monitoring in areas with no cellular connectivity