Rust_Security_Camera

Projects to learn Rust

• Build a camera surveillance system to protect an area.
• Computer vision to determines suspicious activities.
• Use LED blinking in a secure, random-generated pattern. If the pattern is not correct, then the visual feedback is tampered.

Requirements

1. Microsoft C++ Build Tools
2. Cmake
3. Rust
4. OpenCV: The Rust opencv crate requires the OpenCV library to be installed
   • Use version 4.10.0
5. Install LLVM https://releases.llvm.org/download.html
   • Use version 19.1.3
6. If you are using Windows, add the following Environment Variables:
   • OPENCV_LINK_LIBS = "opencv_core4,opencv_highgui4,opencv_imgproc4,opencv_videoio4"
   • OPENCV_LINK_PATHS = "C:\...\vcpkg\installed\x64-windows\lib"
   • OPENCV_INCLUDE_PATHS = "C:\...\vcpkg\installed\x64-windows\include\opencv4"
   • OPENCV_VERSION = "4.11.0"
   • OPENCV_DISABLE_PROBES = "cmake,vcpkg_cmake,vcpkg,pkg_config"
   • OPENCV_PACKAGE_NAME = "opencv4"
   • OPENCV_VCPKG_NAME = "opencv4"
   • VCPKG_ROOT = "C:\...\vcpkg"
   • VCPKGRS_DYNAMIC = "1"
   • CMAKE_PREFIX_PATH = "C:\...\vcpkg\installed\x64-windows"

Instruction

1. Start Security Pattern on Raspberry Pi4
   • cd src/controller/led
   • rustc led_controller.rs
   • sudo ./led_controller
2. Compile Rust_Security_Camera
   • cargo clean
   • cargo build
   • Might need to run this script to add some missing libraries: .\utils\copy_dll_files_from_vcpkg_to_target.bat
3. Wait for the program to self calibrate, please ensure consistent lighting for the best result

Demo

2025-08-29.20-05-12.mp4

Raw: https://github.com/PMQ9/Rust_Security_Camera/blob/main/doc/2025-08-29%2020-05-12.mp4