Bettini does not only design and manufacture video recording systems and camera branded GAMS, but its R&D Department also develops software and applications for video surveillance. 

Let's briefly summarize what kind of products are available in the GAMS range: 

- CMS (Content Management System): software that enables efficient organization, storage and retrieval of surveillance footage and related data. It acts as a central hub for managing video feeds from multiple cameras, allowing users to monitor, analyze, and control the entire surveillance network remotely. Typical features are real-time video streaming, playback and event notifications. It simplifies video management, enhances security operations, and facilitates data integration with other security systems. 

- VMS (Video Management System) Suite: suite that is specifically focused on advanced management of security data and video streams to allow the full execution of operational and remote control on a video surveillance system. Some typical features are: activation and reception of live video streams, reception of video events (e.g., motion detection), reception of alarms attested on digital I/O, recordings search, import and export, password and authorization management, device status monitoring. 

Our VMS is also expandable to support PSIM features (Physical Security Information Management). PSIM is an advanced kind of software that integrates and manages data from various security sources, such as video surveillance systems, access control, environmental sensors (e.g., fire detection), intrusion alarms, gate management, LPR and more. This system unifies the data and presents it in a single intuitive interface, providing a comprehensive real-time view of the security situation. 

- Basic Video Analytics (basic): video analysis software which performs the following functions: Object classification (people and vehicles), Presence Detection, Loitering, Exit/Enter ROI, Sequential Detection, Advanced Cross Line, Tampering (Disorientation, Blurring, Glare, and Obscuration). 

- Advanced Video Analytics based on Artificial Intelligence: AI-based video analytics systems learn over time by continuously processing and analyzing vast amounts of video data. Through algorithms, they identify patterns, objects, and behaviors and become increasingly efficient. They can identify only objects or people with specific characteristics (behavior, physical, clothes, etc.) on the scene, track people or objects that are present or passing through a designed area, recognize a suspect behavior or movement and much more. 

- Applications for mobile: multisite App that, in addition to Live and in Play visualization of cameras, enables immediate reception of push notifications on mobile devices from DVRs/NVRs when alarms and diagnostic alerts occur. Through the notifications it is possible to immediately recall the recorded images related to the alarm. It is also possible to remotely monitor the diagnostic status of connected devices.