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After years of development, recording and broadcasting technology has become mature, with similar system architectures. Typically, a recording and broadcasting host combined with an automatic tracking host—using either image or infrared tracking technology—forms the core of such systems.
When self-survey visualization first introduced an integrated recording and playback host with embedded high-definition image tracking, many manufacturers followed suit, launching so-called "integrated" systems. However, in reality, these systems are not truly embedded or fully integrated. Instead, they are just hardware combinations—traditional tracking hosts and recording hosts are merged into a single chassis, but they still operate as two separate systems.
So, how can a non-expert distinguish between a real embedded and integrated system and a "pseudo" one?
First, check if there are additional analysis cameras. A genuine embedded tracking system only needs 4 to 5 HD cameras as signal sources for high-definition shooting. In contrast, a "pseudo" integrated system still relies on the original tracking architecture, requiring extra 3 to 8 hemispherical surveillance cameras as analysis cameras, in addition to the main HD ones.
Second, look at the number of standard definition interfaces. The "pseudo" system often requires multiple SD interfaces to connect the analysis cameras and tracking system, limiting the entire system to standard definition. A true embedded system uses only a few HD interfaces, making it more efficient and modern.
Third, check whether tracking and host parameters can be adjusted from a unified interface. A real embedded system allows users to debug both the tracking system and the host through a single interface. On the Other hand, a "pseudo" system requires separate access to two different debugging interfaces, which is less convenient and less integrated.
Unlike these hardware-assembled pseudo-integrated systems, the Yingying recording and broadcasting system embeds the image tracking software directly into the host, sharing a unified hardware platform. This creates a true embedded tracking and integrated system. It only requires four full HD cameras for capturing the teacher's wide shot, close-up, students' wide shot, and close-up, along with image analysis functions. The system uses the teacher’s wide shot camera to detect the teacher's direction and sends commands to the tracking camera to follow the close-up. The same applies to student tracking.
An embedded system using 1080P HD images offers far greater accuracy—more than five times that of systems using external analysis cameras. It operates smoothly without the clutter of a patchwork approach, making it far superior to pseudo-integrated solutions.
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