Swallow Incubate Co., Ltd. Company Profile

We have started offering the latest version 1.1.0 of the "Blink Detection SDK," which detects blinking from the state of eye opening and closing using only a PC's webcam or a smartphone camera. The face detection model has been updated to the lightweight and fast YuNet, and it supports usage from C#/.NET (verified to work with .NET 8). The same version is provided across four platforms: Windows, Linux, iOS, and Android, and it includes eight sample applications for each platform. It can process quickly using only the CPU without the need for a GPU, making it useful for integration into products and services for features like eye strain prevention alerts and touchless operations. A one-month free trial version (SDK/Windows app/smartphone app) is available.

The facial recognition system requires both facial recognition to verify "whether it matches the registered individual" and spoof detection to confirm "whether the person in front of the camera is a real human and not a photo or screen." We are pleased to announce that our company has started offering a facial recognition SDK as an add-on to the "spoof detection SDK" used in major medical institutions and in entry/exit management and attendance management settings. ■ What you can do with the set - By simply passing the same camera feed to both SDKs, you can integrate both identity verification and biometric detection. - In our validation, we were able to detect all face photos and smartphone screens that would pass through facial recognition alone when combined with spoof detection. - Facial verification accuracy: 99.37% (public benchmark LFW, in-house evaluation) - Compatible with Windows / Linux / iOS / Android We offer a one-month free trial version. For more details, please refer to the news release in the related links.

Swallow Incubate Co., Ltd. has started providing the latest version 2.4.0 of its "Impersonation Detection SDK," which detects "impersonation" using photos, smartphone screens, and printed materials during face recognition and identity verification, starting September 29, 2026. In this version, the core fake detection models (for landscape and portrait images) have been updated to enhance generalization performance, allowing for stable detection against unknown shooting environments and unknown attack patterns. Evaluation using approximately 1 million frames of in-house verification data has confirmed a detection accuracy of 99.9% (in-house evaluation). The detection engine for the "Impersonation Detection API" available on the cloud (AWS Marketplace) has also been updated to version 2.4.0. There are no changes to the pricing plans. A trial version of the SDK (Windows / Linux / iOS / Android) is available for free for one month.