Software Matrix

In the present-day context, security has emerged as a matter of utmost significance, particularly for individuals and businesses striving to safeguard their assets and people. While conventional video surveillance systems have long been relied upon, they come with inherent limitations.
Typical applications of Object Recognition Technology. Medical diagnostics factory automation quality control assembly verification inventory control security and surveillance systems image search and object identification image matching image analysis and object identification finding and retrieving images with the same content from photo datasets finding similar images in video(s) finding similar images in photos or videos motion tracking of objects image matching across multiple content sources human factors psychology human performance measurement neuroscience handwriting analysis

Security Surveillance Software

A classical application of computer vision is handwriting recognition for digitizing handwritten content. Outside of just recognition, other methods of analysis include: Video motion analysis uses computer vision to estimate the velocity of objects in a video, or the camera itself. In image segmentation, algorithms partition images into multiple sets of views. Any application that involves understanding pixels through software can safely be labeled as computer vision.
Remote video recording involves capturing and storing video footage from cameras or video sources located at a remote site. This recording can be accessed and managed from a different location, providing flexibility and accessibility for various applications, such as surveillance, monitoring, and video documentation.
Object and event detection software contributes substantially to the multi-functionality of smart home security systems. Computer vision capabilities enable the identification of a variety of phenomena, from license plates to potential security threats, thereby enhancing overall home security. The use of such technology eliminates the need for more complex setups, allowing users to leverage their existing camera systems to detect anomalies effectively.

Surveillance System Software

We realized that to address performance and stability issues, we had to overhaul the system entirely, moving away from relying on third-party libraries such as FFmpeg and VLC. This is no small feat. In the upcoming version, we will implement our own video stream re-streamer and a player for video viewing.
Soon, a new version of SmartVision will be released, aiming to tackle the long-standing challenges in the video surveillance software market. We believe that this update will set a new standard in the realm of video surveillance, providing users with a reliable, efficient, and user-friendly solution.
The video surveillance software market has been plagued with challenges for a long time, which include intricate setups, the need for resource-intensive external libraries, and non-standard compliance by many IP camera manufacturers. Most existing systems are burdened with issues accumulated from years of open-source solutions development, reflecting on their compatibility and stability.
A primary challenge stems from the fact that most video surveillance software relies on the FFmpeg libraries. While FFmpeg is universal, it requires specific parameters and decoding streams, which vary depending on the IP camera model. Every camera manufacturer might need different parameters set, such as frames per second, resolution, and audio and video codecs. This makes the system inherently complicated.
Software Matrix