By using the "eye detection technology" (RGB version), you can detect "blinking," "viewing distance," and "eye feature points" with a webcam.
The "joint patent technology" and "eye detection technology (RGB version)" utilizing "deep learning" developed by Panasonic and our company are highly versatile elemental technologies that allow for easy measurement of "blinking," "eye feature points," and "viewing distance (the distance from the camera to the eye)" using web cameras or device cameras on PCs. The detection uses a learning model based on deep learning, and we have compressed the learning model to achieve a processing speed of 50 to 60 ms per frame even with CPU processing (on our company's Windows machine with an 8th generation Core i7 CPU). We offer an SDK and an application, with the application supporting CSV output and recording functions, making it suitable for more than just real-time verification. The application is available in both "camera input version" and "file input version."
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basic information
Features of "Eye Detection/Blink Detection Technology" 1. Easily usable with WEB cameras/smartphone cameras Developed to be usable with familiar "visible light cameras (RGB)." (Can be used with glasses) 2. Capable of detecting "blinks," "viewing distance," and "presence of glasses" By detecting eye feature points and estimating viewing distance for each frame, it becomes possible to detect "blinks." Additionally, it can determine whether glasses are present and whether they are clear lens glasses or sunglasses. 3. Unique algorithm x deep learning (mask-friendly) By combining a unique "image processing method, detection algorithm" with deep learning, we have achieved high-precision detection of information related to human eyes. Detection is also possible while wearing a mask. 4. Optimized for edge AI, with a deep learning model capable of fast processing using only CPU By compressing the deep learning training model as much as possible, it can be processed quickly without a GPU. With recent Core i5/i7 processors, processing can be achieved at 50-60ms per frame.
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Applications/Examples of results
◆Uses - Various applications for detecting blinking - Various applications for measuring the distance between the eyes and smartphones or PCs
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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 on a smartphone is real or fake, with 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 technology allows for easy measurement of "blinks," "eye feature points," and "viewing distance (the distance from the camera to the eye)" using a web camera 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/
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