Articles by Alice (Cai Xiaohua)

In security, vision is paramount. The surveillance camera serves as an unwavering digital eye—the foundational source of truth. Yet a critical vulnerability persists: what happens when these “eyes” falter without warning? Corrupted footage or unexplained gaps in recorded evidence can render an entire system unreliable, turning trusted video into questionable data. Relying on chance is no longer a viable strategy. Traditionally, ensuring the health of a video surveillance syste...

In mobile surveillance, remote sites, and environments with unstable networks, video recordings often suffer from "time gaps" due to network interruptions, a longstanding technical challenge for security systems. Under traditional architectures, central servers rely on real-time streams for storage. Once the network connection is lost, the recording timeline experiences an irrecoverable interruption, leading to the loss of footage of critical events. This creates a fundamental flaw in post-eve...

In the modern world of intelligent security, AI cameras and processing units (often called "AI boxes" or "AI servers") are transforming surveillance. They can detect specific behaviours — like someone entering a restricted area, loitering, or a vehicle parking illegally — and send immediate alerts. This represents a significant leap from older systems that merely recorded video for later review. However, a common challenge arises when organisations use devices from multiple manufact...

Where and how to store security camera footage usually depends on the scale of the video surveillance project, the way you are using to record the video and how long you want to keep the recordings. If there are only few IP cameras, say 2~3 IP cameras for example, and you don’t need to keep the recordings for the month, usually using SD card which is installed in the camera is enough. Video management software A VMS provides a unified platform to manage all cameras and record footage on...

Currently, in security surveillance, the application of intelligent analysis technology has two approaches: front-end intelligence and back-end intelligence. Front-end intelligence Front-end intelligence is typically implemented within the video surveillance camera itself, integrating AI edge algorithms into the camera. Its advantages include: acquiring video in real-time and performing video analysis and feedback results immediately. Benefits No consumption of network resources like bandw...

Nowadays the Internet of Things has become an integral part of business around the world. The enhanced functionality made possible by the Internet of Things (IoT) and associated technologies are responsible for many of the major changes seen across society today. Video surveillance Video surveillance is one area that experiences substantial evolution driven by IoT technology. The intelligent monitors and sensors of the IoT combined with emerging high-speed network solutions promise to improve...

Enable third-party application system quickly to incorporate the visual data, as part of their solutions. Each and every user has a unique set of platforms that they need to efficiently run their business. In the security and surveillance field, increasing interest in visual sensor networks drives the development of multi-camera applications in private and public areas. Thus, middleware is needed to facilitate video data sharing connections between software platforms. It works like video plumbi...

Nowadays to save costs by making full use of old devices while upgrading the old security projects, many integrators or installers prefer to use video management software to manage multiple brands of video devices (such as IP cameras, and NVR), instead of only one single brand. So that they could have more flexible choices to earn profits while saving costs. Multi-brands video device management On other hand, with market segmentation and specialisation, instead of managing the video by themsel...