Codeproject Blue Iris Verified — __top__
This deep integration is so "verified" that recent versions of Blue Iris no longer function with the old DeepStack method, solidifying CodeProject.AI as the future of the platform. According to discussions from the CodeProject community, "The last Blue Iris version that was not tightly integrated with CPAI in this way was 5.6.8.4". As Blue Iris evolves, its integration with CodeProject.AI becomes more intrinsic, making the "verified" setup the only officially supported path forward.
| Component | Minimum | Recommended | |-----------|---------|--------------| | CPU | 4 cores (Intel with QuickSync) | 6+ cores or NVIDIA GPU | | RAM | 8 GB | 16 GB | | Storage | 10 GB free | SSD for AI cache | | OS | Windows 10/11, Linux, Docker | Windows 11 + CUDA GPU | | Blue Iris | Version 5.5.0+ | Version 5.7.0+ |
Running local AI is resource-intensive. To keep your system snappy, consider these hardware and software optimizations: CodeProject.AI for Blue Iris - Installation and Setup 26 Feb 2023 — codeproject blue iris verified
Previously, Blue Iris users relied on DeepStack for native AI analysis. However, when DeepStack development stalled, Blue Iris officially shifted its native support and verification to CodeProject.AI Server. Key Benefits of the Verified Integration
This step-by-step guide compiles the best and most current practices from the CodeProject community to get your "verified" system up and running. This deep integration is so "verified" that recent
Identify specific objects such as cars, trucks, and boats.
: Filters motion alerts to confirm specific objects like people, cars, dogs, and trucks. Key Benefits of the Verified Integration This step-by-step
Under , type the objects you want to detect, separated by commas (e.g., person, vehicle, car, truck ).