Standard motion detection triggers when pixels change. Wind blows a tree? Alert. Sun comes out from behind a cloud? Alert. A spider web in front of the lens? 500 alerts. With CodeProject.AI, Blue Iris asks the AI: "Is that a person?" If the answer is no,
A manufacturing engineer wants to detect belt misalignment and overheating before failure. codeproject blue iris
An NVIDIA GPU is not strictly required but is highly recommended to speed up detection times. Standard motion detection triggers when pixels change
In the realm of artificial intelligence and computer vision, the term "CodeProject Blue Iris" has been gaining significant attention in recent years. For those unfamiliar with the concept, CodeProject Blue Iris refers to a cutting-edge, open-source project that leverages the capabilities of machine learning and computer vision to create a robust and efficient surveillance system. In this article, we will delve into the world of CodeProject Blue Iris, exploring its features, benefits, and applications, as well as provide a step-by-step guide on how to get started with this innovative technology. Sun comes out from behind a cloud
A common bug: "CodeProject Blue Iris" works fine for 30 minutes, then crashes or slows down. In Blue Iris (Settings > Cameras), set "Hardware accelerated decode" to "No" or "Intel (Beta)." NVIDIA decoding (NVENC) sometimes conflicts with the CUDA resources needed by CodeProject.AI. Let the AI do the heavy lifting; let Blue Iris just stream the video.
For maximum efficiency and low CPU usage, a Google Coral AI chip can be added, allowing high-speed detection without taxing the main GPU. How to Set Up CodeProject.AI with Blue Iris CodeProject.AI for Blue Iris - Installation and Setup