With a single tap, SaveAlert instantly notifies administrators, security personnel, and our 24/7 monitoring and verification center—providing the crisis type, a photo, and the exact GPS location. This rapid response saves valuable seconds and lives. Powered by cloud technology with 99.99% uptime, SaveAlert operates reliably around the clock even when Power or the Internet is down. It is fully compatible with both Android and iPhone devices, using either WiFi or mobile data.

AccelEye is built for speed and precision—capable of detecting threats in as little as 90 milliseconds. This ultra-fast processing time is achieved through our optimized AI models and high-performance edge computing, enabling real-time video analysis across hundreds of camera feeds simultaneously.

Whether deployed via AIBox or integrated with VMS platforms like Milestone, ALTA, or AxxonSoft, AccelEye delivers instantaneous threat recognition and alerting—allowing security teams to respond immediately. This sub-100ms detection speed ensures that critical incidents are identified and escalated before they escalate, significantly enhancing on-site safety and situational awareness.

AccelEye delivers impressive accuracy across its detection capabilities, ensuring reliable performance in real-time scenarios. Our weapon detection system achieves 92% accuracy with a lightning-fast response time of just 90 milliseconds, enabling immediate threat identification. Violence detection reaches 64% accuracy, effectively capturing aggressive behaviors and physical altercations in various environments. Additionally, our fall detection system maintains 85% accuracy, providing timely alerts in cases of accidents or medical emergencies. These results highlight AccelEye’s commitment to combining speed and precision to enhance safety across schools, public spaces, and commercial facilities.

Yes, AccelEye can operate without an AIBox. Our AI-powered detection system is designed to integrate seamlessly with existing Video Management Systems (VMS) such as ALTA, AxxonSoft, and Milestone. By leveraging these third-party platforms, AccelEye performs real-time video processing and threat detection directly through the VMS infrastructure—eliminating the need for additional hardware while still delivering fast, accurate results. This flexible deployment option ensures easy integration into your current security setup.

AccelEye AI-powered detection system is designed to integrate seamlessly with existing Video Management Systems (VMS) such as ALTA, AxxonSoft, and Milestone. By leveraging these third-party platforms, AccelEye performs real-time video processing and threat detection directly through the VMS infrastructure—eliminating the need for additional hardware while still delivering fast, accurate results. This flexible deployment option ensures easy integration into your current security setup.

Weapon detection is essential for enhancing public safety and preventing potential acts of violence before they escalate. By identifying firearms or other dangerous weapons in real time through AI-powered video analysis, security teams can respond immediately, reduce risk, and protect lives in schools, public spaces, workplaces, and other vulnerable environments.

Gun detection on school campuses is crucial because it provides immediate, automated alerts the moment a firearm is visible, buying precious seconds for lockdown procedures, law‑enforcement response, and student evacuation. Early detection helps stop potential shootings before shots are fired, reduces reliance on human vigilance alone, deters would‑be attackers who know they’re likely to be spotted, and reassures parents, staff, and students that proactive safety measures are in place.

AccelEye uses real-time video analysis to identify visible firearms or weapons from security cameras, instantly alerting security teams when a threat is detected.

It’s ideal for schools, malls, airports, offices, public venues, and anywhere proactive security is a priority.

Violence detection is needed to ensure safety, prevent harm, and enable rapid response in critical situations. In crowded or high-risk environments like schools, hospitals, public areas, and workplaces, violent incidents can escalate quickly and go unnoticed by human observers. AI-powered violence detection systems monitor camera feeds in real time, automatically identifying signs of physical aggression or disturbances. This allows security teams to act immediately, reducing the risk of injury, improving incident response times, and creating a safer environment for everyone.

Violence detection works by using advanced AI algorithms to analyze real-time video feeds from security cameras. The system processes patterns of movement, body language, and interactions between individuals to identify signs of aggressive behavior, such as fighting, hitting, or sudden physical altercations. By continuously monitoring and learning from these behaviors, the AI can distinguish between normal activities and potential violence. When suspicious or violent actions are detected, the system instantly triggers alerts to security personnel or emergency responders, enabling quick intervention to prevent escalation and ensure safety.

The system can detect loitering, unauthorized access, crowd fights, vandalism, and other suspicious or non-compliant behavior.

Powered by deep learning models, the system provides high-accuracy detection and can be fine-tuned based on the environment.

Elderly individuals, people with disabilities, hospital patients, and individuals in high-risk environments like public buildings or schools.

Fall detection is needed in public places to ensure immediate assistance in case of accidents, especially for elderly individuals, people with disabilities, or those experiencing medical emergencies. It helps reduce injury severity, enables faster emergency response, and enhances overall public safety by identifying potential incidents related to health issues or even violence in crowded environments.

Fall detection uses AI video analytics to identify sudden body movements that indicate a person has fallen. It automatically triggers alerts for rapid response.

Yes, it works effectively in both indoor and outdoor settings, including offices, campuses, parks, and transit hubs.

Yes, our system is trained to detect fall events even in busy environments by tracking individual movement patterns and posture changes.

Yes, detections are processed in real-time with alerts sent within seconds to designated personnel.

No, it is completely camera-based and does not rely on any wearable hardware.

Absolutely. Our solution integrates with most VMS and camera systems for a seamless security upgrade.