Cognex VisionPro vs CompreFace
Cognex VisionPro
cognex.comCompreFace
github.comSide by side
| Figure | Cognex VisionPro | CompreFace |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 2 |
| Spec score · AI Image Recognition Software | 7.2 (#26) | 8.9 (#2) |
| Support | Cognex provides product documentation, software and firmware updates, training links, and case creation through its Support Hub. | The project directs users to report ideas and bugs on GitHub and offers a community chat link. |
Plans
In their own words
Cognex VisionPro
Cognex VisionPro has no write-up on Specifiction yet; its figures are above.
CompreFace
CompreFace is a free, open-source face recognition service that provides capabilities through a REST API. It supports face recognition and verification, plus face, landmark and mask detection, head pose detection, age recognition and gender recognition. The project says setup and use do not require prior machine-learning skills. It is packaged as a Docker Compose configuration and can run as a standalone server or in the cloud; listed deployment options also include hybrid use. Setup instructions cover Windows, macOS and Linux and require Docker with Docker Compose or Docker Desktop. The service supports CPU and GPU models, with an x86 processor supporting AVX among the stated requirements. A UI panel and role management let users manage roles and control access to face recognition services. The project names FaceNet and InsightFace among its underlying libraries and links JavaScript, Python and .NET SDK repositories. CompreFace is self-hosted and released under Apache 2.0. The documented quick start uses a release archive and starts the service with docker-compose up -d; the project also points users to GitHub channels and a community chat.