A preview is not available for this record, please engage by choosing from the available options ‘download’ or ‘view’ to engage with the material
Description
Businesses today are increasingly seeking ways to boost their security measures, both in terms of data and facility access. To improve accuracy and access control to sensitive information and facilities, they are turning to technologies like facial recognition. However, these technologies can create a conflict when trying to balance privacy and security. That’s why Yumai created their Palm Vein Identification solution, a secure and non-intrusive method for identity authentication. The solution utilizes infrared lights to produce and capture veinous shadows from an individual's palm. The scanned image is run through advanced recognition algorithms to verify an individual’s unique palmar vein features and calculate the similarity of different features with those in the clustered library, detecting left or right handedness, and ensuring secure access while mitigating privacy concerns. This solution utilizes an AI learning engine to ensure low false acceptance rates, low memory consumption, and high search speeds with embedded high-dimensional vector searching.