Video Analytics Software
Video analytics in SmartVision is built around a simple idea. Cameras should not only record video but also understand what is happening. Modern surveillance produces huge amounts of footage, and most of it is never watched. Analytics turns this endless stream into events, alerts, and searchable data. Instead of reviewing hours of recordings, users get the exact moments that matter.
SmartVision
Setup File for Windows 10, 11 (390 Mb)
Free
Video Surveillance News
SmartVision combines several analytics layers. Motion detection is the basic level. It filters out empty scenes and triggers recording only when something changes. On top of that comes object detection, face recognition, license plate recognition, smoke and fire detection, and neural audio analysis. Together they create a system that can both see and hear what is happening.
The role of facial recognition remains one of the most visible parts of video analytics. The process starts with face detection. The system scans video frames and finds areas that look like human faces. After detection, the software extracts unique facial features and creates a digital template called a faceprint. This template is compared with a database to identify people in real time or during archive search. In practice this is used for access control, visitor tracking, attendance monitoring, and security alerts when a known or unknown person appears.
License plate recognition works in a similar way. SmartVision detects vehicles in the frame, isolates the plate, and converts it into text. This allows automatic gate control, parking monitoring, and vehicle search in the archive. Instead of manually reviewing video, users can simply search by plate number and jump directly to the moment the car appeared.
However, video analytics in SmartVision goes beyond image analysis. One of the most important recent additions is sound detection. Traditional surveillance systems are effectively silent. They react only to movement. This creates blind spots. Many critical events happen without visible motion. A baby crying, a person shouting for help, a gunshot, breaking glass, or a distress word can occur outside the camera view or in poor lighting. Without audio analysis these events remain invisible to the system.
The role of facial recognition remains one of the most visible parts of video analytics. The process starts with face detection. The system scans video frames and finds areas that look like human faces. After detection, the software extracts unique facial features and creates a digital template called a faceprint. This template is compared with a database to identify people in real time or during archive search. In practice this is used for access control, visitor tracking, attendance monitoring, and security alerts when a known or unknown person appears.
License plate recognition works in a similar way. SmartVision detects vehicles in the frame, isolates the plate, and converts it into text. This allows automatic gate control, parking monitoring, and vehicle search in the archive. Instead of manually reviewing video, users can simply search by plate number and jump directly to the moment the car appeared.
However, video analytics in SmartVision goes beyond image analysis. One of the most important recent additions is sound detection. Traditional surveillance systems are effectively silent. They react only to movement. This creates blind spots. Many critical events happen without visible motion. A baby crying, a person shouting for help, a gunshot, breaking glass, or a distress word can occur outside the camera view or in poor lighting. Without audio analysis these events remain invisible to the system.
Video analytics software for CCTV
SmartVision adds a new layer by analyzing sound in real time. The system listens to the audio stream from cameras or microphones and uses neural models to recognize specific sound patterns. These include crying, screaming, gunshots, breaking glass, alarms, or predefined keywords. When a sound event is detected, SmartVision can immediately send notifications, start recording, or mark the moment in the archive.
This capability changes how surveillance works in everyday scenarios. In homes and childcare environments, sound detection can alert parents when a baby cries even if the child is outside the camera frame. In offices and public spaces, the system can react to shouting or distress words. In warehouses and parking areas, it can detect glass breaking or alarms even at night when visibility is poor. Audio becomes an early warning system that complements video analytics.
Another advantage of sound detection is reducing false events. Motion alone often produces too many alerts. Rain, shadows, animals, or headlights can trigger recordings. By combining motion, object detection, and sound analysis, SmartVision can filter events more intelligently and keep only meaningful incidents. This saves storage space and makes the archive easier to search.
All analytics in SmartVision work together. A sound event can trigger video recording. Face recognition can confirm who was present.
License plate recognition can identify a vehicle. Notifications can be sent instantly through messengers or external systems. The result is a surveillance system that reacts to real events instead of passively collecting footage.
Video analytics transforms surveillance from recording into understanding. With the addition of neural sound detection, SmartVision no longer relies only on what cameras see. It also reacts to what they hear, providing faster alerts, fewer false events, and a more complete picture of what is happening in the monitored environment.
Another advantage of sound detection is reducing false events. Motion alone often produces too many alerts. Rain, shadows, animals, or headlights can trigger recordings. By combining motion, object detection, and sound analysis, SmartVision can filter events more intelligently and keep only meaningful incidents. This saves storage space and makes the archive easier to search.
All analytics in SmartVision work together. A sound event can trigger video recording. Face recognition can confirm who was present.
License plate recognition can identify a vehicle. Notifications can be sent instantly through messengers or external systems. The result is a surveillance system that reacts to real events instead of passively collecting footage.
Video analytics transforms surveillance from recording into understanding. With the addition of neural sound detection, SmartVision no longer relies only on what cameras see. It also reacts to what they hear, providing faster alerts, fewer false events, and a more complete picture of what is happening in the monitored environment.