WiFi DIY Spy Camera
A Wi-Fi DIY spy camera module is a small, customizable surveillance system that allows users to build their own Wi-Fi-enabled spy camera. The module typically includes a camera sensor, a Wi-Fi transmitter, and the necessary hardware for connectivity and image capture. It enables wireless video streaming and remote monitoring via a smartphone, tablet, or computer over a Wi-Fi network. The term “DIY” (Do It Yourself) highlights that the module is designed for users who want to assemble and configure the system on their own.
Smooth transmission
The WiFi DIY Spy Camera Module uses an efficient video compression algorithm to compress video files to a smaller size without losing too much image quality. When using the H.265 algorithm, the video file size can be reduced by about 50% compared to the H.264 algorithm, while the image quality loss is small. At the same time, the WiFi DIY Spy Camera Module has a built-in high-performance Wi-Fi chip that supports wireless network standards such as IEEE 802.11b/g/n/ac, with a transmission rate of up to 150Mbps or higher.
High-definition recording
The WiFi DIY Spy Camera Module is equipped with a high-resolution (3840×2160 pixel) image sensor that can capture more details and color information, making the monitoring picture clearer. In addition, the WiFi DIY Spy Camera Module also uses advanced video processing technology, including image stabilization, color correction, noise reduction, etc., which can reduce image jitter (jitter reduction can reach more than 90%), improve color reproduction (color accuracy can reach more than 95%), and reduce noise (noise reduction can reach more than 80%), thereby improving the overall video quality.
Mobility detection
The WiFi DIY Spy Camera Module has built-in motion sensors and image processing algorithms, which can monitor pixel value changes in real-time and determine whether there is an object moving. Once a moving object is detected, the WiFi DIY Spy Camera Module will immediately trigger the recording function and save the relevant video clips. The accuracy of motion detection can reach more than 98%.






















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