THE FUTURE
OF SMART SURVEILLANCE
Redefining vigilance with artificial intelligence
Redefining vigilance with artificial intelligence
Redefining vigilance with artificial intelligence
ARVAS, Anomaly Recognition Video Analytics System, is an AI assisted video anomaly detection system that requires no input of rules or pre configuration.
It continuously analyses video streams and uses unsupervised machine learning to detect abnormal motion, flagging out incidents to operators in real time.
Transform surveillance from reactive to proactive
ARVAS revolutionizes surveillance by shifting from reactive to proactive monitoring. Our advanced AI algorithms effectively detect anomalies in real-time, intelligently filtering out irrelevant events. This capability provides security teams with enhanced situational awareness, allowing them to anticipate and prevent potential incidents before they escalate.
With ARVAS, you're not just watching - you're staying one step ahead.
Our cutting-edge AI-powered system redefines surveillance by instantly identifying unusual patterns and behaviours. By rapidly filters through footage, pinpointing unusual movements and behaviours in real-time. By focusing only on potential threats, ARVAS eliminates constant manual monitoring and enables quick, targeted responses. With ARVAS, you're not just watching—you're intelligently safeguarding your space.
ARVAS takes fire safety to the next level with its cutting-edge fire and smoke detection capabilities. Our specialized version for this type of detection uses an AI-powered system that continuously analyzes video feeds, instantly identifying the telltale signs of fire or smoke. By detecting these threats in their earliest stages, ARVAS provides crucial extra minutes for evacuation and emergency response. This intelligent monitoring works 24/7, across multiple cameras, ensuring comprehensive coverage of your facilities.
ARVAS boosts efficiency by automatically spotting unusual patterns in camera footage. It enables quick, proactive responses and reduces the need for manual monitoring, saving time and resources while increasing accuracy across various industries and use cases.
Making use of latest machine learning techniques, ARVAS behaviour detection is not limited by fixed rules, and is able to learn to distinguish between normal and abnormal behaviour.
ARVAS is highly scalable and is able to accept relatively low rates and resolutions, accommodating older legacy cameras with ease. It is able to apply in wide use case as it is not reliant on any particular scene or configuration.
ARVAS is easily scalable, able to match your requirements while ensuring smooth performance. Effective monitoring leads to lesser reliance in routine physical patrols, contributing to lesser cost and potential human error, while improving security standards.
Making use of latest machine learning techniques, ARVAS behaviour detection is not limited by fixed rules, and is able to learn to distinguish between normal and abnormal behaviour.
ARVAS is highly scalable and is able to accept relatively low rates and resolutions, accommodating older legacy cameras with ease. It is able to apply in wide use case as it is not reliant on any particular scene or configuration.
ARVAS is easily scalable, able to match your requirements while ensuring smooth performance. Effective monitoring leads to lesser reliance in routine physical patrols, contributing to lesser cost and potential human error, while improving security standards.
ARVAS offers versatile solutions across diverse industries and can be suited to various use cases. ARVAS's flexible framework can be tailored to address your specific challenges, driving innovation and growth in your sector.
The deployment of ARVAS over 200 cameras in Sentosa is one of the earliest and largest self-learning abnormality detection system in Singapore.
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