Swallow Incubate Co., Ltd. List of News Articles

Swallow Incubate Co., Ltd. has launched the Swallow Incubate Tech Blog, a technical site covering the implementation of liveness detection, face recognition and image processing. Developers who design and build face recognition systems have told us they lack the information needed to judge which technology to choose and what it can and cannot do. In particular, face recognition and liveness detection (protection against presentation attacks) are separate technologies - a point that is often recognised only at the implementation stage. The blog publishes that material. Our editorial rule is that every article carries implementation code and measured results. It is organised into three categories: Liveness Detection, OpenCV for C++, and OpenCV for C#.

Swallow Incubate Co., Ltd. announces its security operations for our website (swallow-incubate.com). We run an automated vulnerability scan every month with "Onamae.com Net de Shindan," whose scanning engine is provided by GMO Cybersecurity by Ierae, Inc. Having met the required criteria, we now display their Cyber Attack Countermeasure Site Seal on the site. Swallow Incubate provides Liveness Detection (Anti-Spoofing) Technology, which detects spoofing attempts against face recognition. As a company whose technology underpins identity verification, we regard continuous checks of our own website as essential, and we will continue them as part of our ongoing work toward ISO/IEC 27001 (ISMS) certification.

Swallow Incubate Co., Ltd. made its Liveness Detection API generally available on July 28, 2026 through AWS Marketplace, serving customers in Japan and worldwide. The API delivers over the cloud the same fake-detection engine as our Liveness Detection SDK, which is deployed at more than 40 sites across Japan. No SDK integration is needed: a single REST API call adds a live-or-fake decision to an existing face recognition or eKYC (online identity verification) flow. Liveness detection identifies presentation attacks - attempts to defeat face recognition by presenting a photograph, a smartphone screen or a printed image to the camera. The technology comprises fake detection, which decides from a single still frame, and action detection, which asks the user to perform randomized actions such as turning the head or blinking. This API provides fake detection, which requires only one still image. As of the end of June 2026, our liveness detection technology is deployed at more than 40 sites across Japan, in applications including authentication solutions for major medical institutions, access control terminals and attendance management terminals. Six plans, including a free tier of 50 calls per month, are available on AWS Marketplace.

We have started providing the "Liveness Detection SDK ver. 2.3.0". Built on technology jointly patented with Panasonic, our Liveness Detection SDK is deployed at more than 40 sites across Japan. This version improves fake-detection accuracy and face-position detection accuracy, updates the OpenCV library, and adds official support for C# (.NET 8). In an internal evaluation using approximately 1 million frames, the detection accuracy reached 99.99%. https://bio-check.pas-ta.io/