Scylla uses artificial intelligence to analyze data from fixed and portable cameras. It then processes this data to generate relevant information about the activity captured in the video stream. By comparing the results of the data through the intelligent decision-making algorithm, Charon, Scylla identifies the suspect through facial recognition, as well as possible threats derived from their actions or from a vehicle in the video transmission. Finally, Scylla analyzes the collected data and distributes alerts to law enforcement response units through web and mobile channels, providing information about the threat, location and identity of the suspect.
Use of proprietary analysis with one of the best accuracy metrics in the industry.
Flexible, easy to install and intuitive to use solutions.
They require less hardware compared to similar solutions in many cases.
They can be installed locally or in the cloud.
Object detection includes solutions such as intrusion detection, firearm detection, knife detection, mask detection for theft and detection of abandoned objects.
Action detection is applied in solutions such as detection of fights, violence or aggression; detection of smoke and fire; detection of falls and slips; as well as detection of suspicious buying behavior that could indicate an attempted theft, among others.
Facial recognition is used in the corresponding solution with its specific variants and functionalities.
Scylla easily integrates with existing security infrastructures and can be installed locally or in the cloud. Its detection accuracy is one of the highest in the market, allowing for proactive rather than reactive security.
