
JCV Vision AI is the AI solutions brand by Japan Computer Vision Corporation (a SoftBank Group subsidiary), focusing on computer vision and facial recognition technologies to provide enterprises with smart access control, passwordless login, and attendance management to improve security and efficiency.
The main products include JCV SPARK for access control and attendance, JCV Face Login for system login, and the JCV Cloud facial authentication platform providing core APIs and management features.
Users are authenticated by facial recognition via a camera; the system compares live facial features with the cloud-registered template. If matched, they can log into Windows or integrated web applications without entering a password.
Yes. JCV Cloud offers RESTful APIs for facial recognition (AnySee) and liveness detection, allowing developers to integrate biometric features into existing systems or applications without deep ML expertise.
According to product information, JCV SPARK and other products support facial recognition with masked faces.
These services process biometric data. Usually the platform employs encrypted transmission and storage, and provides an admin console to control data. For specifics, consult the official privacy policy.
JCV Cloud offers annual subscription plans billed by API usage, including a basic tier, with free trial options available. Exact pricing depends on usage volume and service level.
Liveness detection verifies that the face in front of the camera is a real, live person—not a photo, video, or mask—enhancing security against spoofing attempts.

Eyeware AI offers AI-powered head pose and gaze-tracking software that turns ordinary webcams or 3D sensors into eye-tracking devices. Its technology is used across gaming for immersive control, driver monitoring systems, academic research, and consumer behavior analysis to enable more natural human–computer interactions.

Facia AI is a UK-based company specializing in AI-driven biometric and identity verification solutions. Its core services include deepfake detection, liveness detection and facial recognition, designed to help fintech, banks, governments and other high-security industries combat identity fraud and deepfake threats while improving the security and reliability of digital identity verification.