
Slip & Fall Detection System
Enhance safety and prevent accidents with real-time AI monitoring
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In addition to the human cost of potentially life changing injuries, falls alone cost American employers $9.99 billion per annum1, while slips and trips alone cost $2.34 billion. This cost includes lost days at work, medical costs and legal settlements.
● In workplaces, slip and fall accidents lead to costly workers' compensation claims2, averaging about $49,971 per case. ● Every year, slip and fall injuries generate over $34 billion in medical expenses3, putting a major strain on the healthcare system.
These numbers highlight the urgent need for effective prevention strategies to reduce the financial costs and personal harm caused by slip and fall accidents. That is why we have developed the proprietary Scylla Slip & Fall Detection solution, which can accurately detect and analyze slips and falls both in real-time and forensically.
How it works




Proactively improve safety by removing hazards with real-time slip and fall detection
Scylla Slip & Fall Detection instantly identifies slips and falls in real time and forensically. It enhances safety by preventing hazards, enabling rapid response, and preserving evidence for liability protection.
Exceptional Accuracy and Intelligent Detection
Scylla Slip & Fall Detection AI delivers industry-leading accuracy of up to 99.1%, ensuring rapid and precise identification of actual slip and fall incidents. Unlike conventional systems, it intelligently distinguishes real falls from non-threatening actions like lying down or crawling, reducing false alarms.
Our advanced deep learning architecture leverages the latest innovations in vision-based AI, inspired by Large Language Model (LLM) techniques, to maintain a minimum accuracy of 99%. This cutting-edge approach enhances reliability, ensuring that critical incidents are detected with precision while minimizing unnecessary alerts.
Detecting Individual and Group Anomalies
Our custom data processing system, powered by a proprietary algorithm and dataset, accurately identifies hazardous slips and falls in both individuals and groups - automatically and without manual adjustments.
Adaptive, Self-Learning AI
Scylla Slip & Fall Detection continuously evolves using self-learning AI and real-time feedback. It adapts to diverse environments, accurately detecting slips and falls - even in dynamic settings.
Video Analytics Trends: Market Overview
To provide a comprehensive understanding, we've crafted a concise overview that explores the current macro trends in the video surveillance market, upcoming developments in video analytics, and primary risks and opportunities.
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