Scylla
Gun Detection System
AI-powered solution for gun detection in real time. So that you could be proactive, rather than reactive when seconds matter
How it works
- Monitoring and detecting firearms in the camera's field of view.
- Scylla Gun Detection system operates effectively in diverse environments, including those with moving backgrounds, high-traffic areas, various viewing angles, and changing conditions. It is compatible with PTZ, mobile, and drone cameras.
- An integrated zoom-in and tracking algorithm enables long-distance weapon detections, fully utilizing the potential of ultra-high-resolution cameras. Our proprietary, patented video-optimized object detection algorithm ensures an extremely low false-positive rate, guaranteeing highly sensitive and accurate firearm detection, even in busy production settings.
- Scylla Gun Detection technology can be seamlessly integrated with main-in-the-field video monitoring and surveillance solutions through one- and two-way I/O protocols.
- When a detection occurs, an alert including the detection frame and a short video is instantly displayed on the native dashboard and integrated monitoring systems. Furthermore, the Scylla mobile app provides immediate alerts with all relevant information, allowing for possible further actions.
Object Detection and Tracking
Scylla AI-powered proprietary object detection and classification engine augments your security infrastructure and provides situational awareness in real-time.
How it works
- Scylla proprietary Object detection algorithm is trained to detect a number of specified objects in a single or multiple frames. The initial detection is fast and it serves to raise suspicion and forward the region of interest for more accurate assessment to the Charon classifier.
- An alert is then triggered and distributed to the end user through Scylla web, mobile or integrated VMS channels along with the time, location and screenshot of the detection.
- Scylla object detection is unaffected by the background scene or motion and can accurately analyze the content of video streams from stationary and moving cameras.
- Scylla Object Tracking monitors object movement across a series of video frames.
- Tracking of the same object across consequent frames enables multiple assessment and further boosts the accuracy of Scylla AI physical security solutions for real-time video analytics.
Scylla AI detects
The system is trained to detect and identify a wide variety of weapons, knives, robbery masks and abandoned objects.
Foreign Object Debris (FOD)Abandoned Object Detection
Litter Detection
Face Recognition - Watchlist
Upgrade your video surveillance with Scylla Face Recognition that harnesses the power of computer vision and artificial intelligence for the safety of your premises and people.
How it works
- Scylla Face Recognition watchlist is built on state-of-the-art deep learning techniques for higher accuracy and identification speed.
- Each person entering the view of the camera is being tracked and identified multiple times. The results are statistically verified and the final decision is based on the most reliable output.
- Face recognition watchlist module is able to work in unconstrained environments, extreme distances and various face angles, requiring as little as one good image of a person for accurate real-time identification.
- It allows to minimize biases as the facial recognition system was developed on a dataset balanced with all ethnicities and genders.
- It is easily integrated with Access Control Systems to grant entrу based on biometrics or to alert in case a person from the watchlist has been detected.
Use cases
Scylla Face Recognition has a wide variety of use cases and is the go-to solution for businesses looking to enable effective
Access control system
Attendance control
Watchlist monitoring
Missing children detection