Scylla is an AI-powered physical threat detection solution that utilizes computer vision and machine learning to identify potential security risks in real-time. The company's technology can detect a wide range of threats, including weapons, aggressive behavior, smoke, fire, and other anomalies, through analysis of video surveillance feeds. Scylla's solutions are designed to enhance situational awareness and automate response procedures in high-impact scenarios, helping to keep individuals safe in public spaces.
One of Scylla's key offerings is its gun detection system, which can accurately identify firearms and track offenders, even after the weapon has been concealed. The system can integrate with access control infrastructure to lock down facilities and guide emergency evacuations. Additionally, Scylla provides behavior recognition capabilities to detect fights and other aggressive actions before they escalate.
For sports venues and large events, Scylla offers a comprehensive security suite that monitors camera networks and automatically detects threats like weapons, fights, vandalism, and intrusions into restricted areas. The company's solutions can also assist in locating missing persons or identifying banned individuals.
Scylla's technology can be integrated with existing surveillance systems, including cameras, video management systems, and unmanned aerial vehicles (UAVs). The company claims its solutions can effectively filter out up to 99.95% of false alarms and provide sub-second analysis and response times.
In August 2022, Scylla partnered with Dronedek, a provider of secure mailbox solutions, to explore the integration of its facial recognition capabilities for access control purposes. The company had successfully deployed its solutions in numerous healthcare facilities across the US to enhance security for staff, patients, and visitors.
By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.