Next-generation UX showcased through gaze sensing.
The "gaze detection technology" utilizing "joint patent technology and know-how with Panasonic" is a "human sensing technology" that can visualize "gaze direction and gaze position" through high-precision face and eye detection using a unique algorithm. In addition to marketing applications, it can also be implemented on smartphones and PCs for a "natural user interface (NUI)" without the need for special cameras.
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basic information
■ Four Features 1. Achieves high accuracy even without contact This "gaze detection technology" enables gaze detection in a "non-contact" manner by utilizing a camera as a sensor, offering excellent usability. It achieves accuracy comparable to contact-based methods, such as wearables, through a unique algorithm. 2. No special camera required; can be implemented with smartphone cameras By using "visible light cameras," this technology can easily implement "gaze detection" using many commercially available cameras, such as those built into devices like "smartphone cameras," as well as "web cameras (USB cameras)" found in dash cams and car cameras. 3. Glasses can be worn While "glasses" can often be a limitation for technologies targeting the eyes, this technology uses "visible light cameras" and does not rely on infrared cameras, which are prone to reflections, so wearing glasses is not an issue. 4. SDK available Traditionally, gaze detection technology has often been provided as a finished product, but our company offers an "SDK (Software Development Kit)," allowing this functionality to be integrated into various products/services. This significantly reduces development time compared to starting from scratch and makes implementation relatively easy.
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Applications/Examples of results
- Autonomous driving, driver monitoring - Keyboard gaze input, gaze mouse, gaze UI - Evaluation of purchasing behavior such as store displays
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Company information
We are researching and developing element technologies related to human sensing using image processing techniques based on deep learning, and providing them. ◆ Impersonation Detection Technology This technology combines fake detection, which determines whether a face in a photo or smartphone is fake or real, and action detection, which assesses whether a user is performing the instructed action or impersonating someone. https://bio-check.pas-ta.io/ ◆ Eye Detection/Blink Detection Technology This highly versatile element technology allows for easy measurement of "blinks," "eye feature points," and "viewing distance (the distance from the camera to the eye)" using a webcam or PC device camera. https://pupil.pas-ta.io/ ◆ Gaze Detection Technology This technology analyzes camera input or video files to detect a person's "gaze direction" and "face orientation." https://eyetrack.pas-ta.io/ ◆ Iris Authentication Technology This authentication technology uses the unique pattern of the "iris" in a person's eye, which does not overlap with others. Currently, it is only provided to partners involved in the joint development of iris capture cameras. https://iris.pas-ta.io/
