Head Mount Display (AR/VR)
ASTRI has developed an AR Head Mount Display that combines display and sensing functions, enabling a range of intelligent projection solutions with see-through and non-see-through virtual displays of various field of view options. The device also features finger touch sensing in the air, pupil detection and tracking, iris recognition, and eye gazing capabilities. Additionally, it offers object detection, gesture recognition, and environment reconstruction features. The built-in Android embedded system makes it easy to connect to IoT systems, including indoor navigation, for a wide variety of AR applications. Overall, the ASTRI AR Head Mount Display is a cutting-edge technology that has the potential to revolutionize the way we interact with AR applications, providing an immersive and intuitive user experience with advanced sensing and display capabilities.
Please check reference pages for details Reference 1, Reference 2 |
Palm Fusion Biometric Solution
ASTRI and its Swiss partner Smart Secure ID (SSID) have developed a biometric authentication method called the 'Palm Fusion Biometric sensing device', which uses the unique patterns and characteristics found in the palms of individuals to verify their identity. The device captures both palm vein and palm print patterns simultaneously and detects the presence of a palm through infrared and visible light. The solution is highly secure, as veins are located beneath the skin, making identity forgery difficult, and palm prints contain many distinctive features that can differentiate even between identical twins.
Please check reference pages for details Reference 1, Reference 2, Reference 3 |
Multi-Factor Human Centric Sensing Fusion
Smart terminals require trustworthy authentication processes to ensure only authorized users have access. While traditional authentication methods like smart cards and password tokens exist, biometric-based authentication is a more efficient and convenient alternative. Biometrics rely on unique physiological and behavioral characteristics, such as face, fingerprint, palmprint, gait, iris, retina, and voice, to automatically identify individuals. However, relying on a single biometric trait may not always be sufficient to identify a subject accurately. In this case, fusing information from multiple biometric traits in a multi-modal biometric system enhances the system's robustness and accuracy. Ultimately, multi-modal biometric systems can overcome the limitations of unimodal biometric authentication systems and provide an even stronger security solution for smart terminals.
Please check reference pages for details Reference 1 |
Smart Environment Sensing
Smart environment sensing is a rapidly advancing field that uses cutting-edge technologies to analyze and interpret the environment around us. By employing techniques such as object detection, depth estimation, pose estimation, and behavior analysis, smart environment sensing systems can provide valuable insights into how people and objects interact with their surroundings. These advancements have the potential to revolutionize various industries, including healthcare, transportation, and retail, by improving safety, efficiency, and overall user experience.
Privacy-Preserve Sensing
Dynamic Vision Sensors (DVS) are cameras that capture visual information in a way similar to the human eye. They output pixel-level changes in brightness, making them efficient for real-time processing such as object detection and action recognition. DVS has advantages over traditional cameras such as lower power consumption, higher temporal resolution, and greater robustness to lighting changes. DVS also has potential applications in privacy-preserving sensing, such as detecting people and analyzing behavior without violating privacy. It has applications in smart homes, healthcare, and security. As research continues, DVS is expected to find more applications in the future.