Scylla
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About
Scylla is an AI-powered video analytics platform designed to enhance physical security through proactive threat detection. It integrates with existing camera infrastructures—including CCTV, drones, and bodycams—to monitor environments for firearms, unauthorized intruders, and suspicious behaviors. Unlike traditional surveillance which often relies on passive recording for forensic review, this system uses advanced computer vision to identify potential hazards in real-time, providing immediate intelligence to security teams and first responders to prevent incidents before they escalate. The technology operates using a proprietary deep learning model known as ScyllaNet, which is engineered for high-speed processing and accuracy. This model works alongside the Charon smart decision-making algorithm to verify detections and minimize false alerts. Its feature set includes military-grade gun detection, perimeter intrusion monitoring, and facial recognition for both watchlist matching and visitor auto-enrollment. Scylla’s gun detection module is specifically designed to function reliably in dynamic environments, while its intrusion system is noted for its ability to filter out up to 99.95% of false alarms caused by environmental factors like shadows or wildlife. The platform is suitable for a diverse range of industries, including education, retail, healthcare, sports, and defense. It is particularly effective for organizations operating Security Operations Centers that need to manage high volumes of video feeds without overwhelming staff. Deployment is flexible, supporting cloud-based setups, on-premise GPU-equipped servers, and edge computing via Scylla Asteria devices. For defense and large-scale monitoring, the software can identify small firearms at distances up to 100 meters when paired with 8K drone cameras. What distinguishes Scylla is its performance in complex environments and its broad integration ecosystem. It is agnostic to camera makes and models and is capable of processing video from moving backgrounds with sub-second response times. Furthermore, the system is designed with data privacy in mind, allowing for entirely local data storage, and it holds major industry certifications such as SOC 2 and ISO 27001.
Pros & Cons
Filters out up to 99.95% of false alarms to improve operator efficiency.
Supports real-time weapon detection from drones at distances up to 100 meters.
Functions effectively on moving backgrounds including bodycams and UAVs.
Maintains SOC 2 and ISO 27001 certifications for information security.
Offers flexible deployment options including cloud, on-premise, and edge computing.
Requires dedicated GPU-equipped servers for any on-premise server installation.
Full pricing details are not public and require a custom quote from the sales team.
Optimal detection requires cameras to have at least HD resolution and 5-10 FPS output.
Use Cases
School security directors can implement gun detection to identify firearms instantly and provide law enforcement with real-time suspect locations.
Retail managers can use behavior recognition to detect potential shoplifting events, such as a customer placing items into a personal bag.
Security Operations Centers can utilize false alarm filtering to reduce the noise of environmental triggers, focusing only on genuine human or vehicle intrusions.
Industrial facility managers can deploy smoke and fire detection modules to receive instant alerts for early-stage fires in large outdoor or indoor areas.
Airport security teams can use facial recognition watchlists to identify and track persons of interest as they move through the terminal.
Platform
Features
• false alarm filtering
• perimeter intrusion detection
• scylla asteria™ edge monitoring
• vehicle identification and tracking
• smoke & fire detection
• behavior recognition (fights/shoplifting)
• face recognition & auto-enrollment
• military-grade gun detection
FAQs
How does Scylla integrate with existing security hardware?
Scylla connects to your existing camera system by processing digital output via conventional protocols like RTSP, RTMP, or HTTP. It is camera-agnostic and integrates with major Video Management Systems including Milestone, Genetec, and Network Optix.
Can Scylla function on moving cameras like drones?
Yes, Scylla is designed to be agnostic to moving backgrounds and includes proprietary zoom-in tracking features. It can detect firearms from up to 100 meters away using 8K drone cameras with sub-second response times.
What are the hardware requirements for on-premise installation?
For on-premise deployment, Scylla requires dedicated GPU-equipped servers to handle the deep learning computations. Alternatively, users can utilize Scylla Asteria edge devices which provide analytics without the need for a central server.
How does the system handle user data privacy?
Scylla does not store data unless specifically configured by the user, in which case data is kept on the user's local network. The company is compliant with SOC 2 and ISO 27001 standards to ensure high levels of information security.
What types of behavioral anomalies can the AI detect?
The platform is currently trained to identify violent behavior or fights, smoke and fire incidents, and suspicious shopping movements that may indicate shoplifting. It can also detect slip-and-fall events for safety monitoring.
Pricing Plans
Enterprise
Unknown Price• Gun Detection System
• Perimeter Intrusion Detection
• Face Recognition - Watchlist
• Behavior Recognition
• False Alarm Filtering
• VMS Integration
• Edge Device Support
• Mobile & Web Alerts
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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