How PeopleKey's Facial Recognition works...
Facial recognition is a method of identifying or verifying the identity of an individual using their face.
Biometric technology is becoming increasingly popular for time and attendance tracking. Although fingerprint biometrics is a popular and well-developed choice, facial recognition time tracking is an alternative biometric solution with certain distinct advantages.
PeopleKey has long been a leader in fingerprint recognition with more than 20 years of experience in the field of biometric time and attendance. But as contagious illnesses such as colds and viruses like COVID-19 spread and pose a more tangible threat to the productivity of a workforce, PeopleKey has responded to the wishes of its customers by enabling the addition of a facial recognition system to its popular scanners, thus providing the option of a contactless biometric time and attendance solution, helping to minimise the risk of illness due to physical contact.
Facial recognition systems vary in their ability to identify people under challenging conditions such as poor lighting, low-quality image resolution, and suboptimal angle of view. PeopleKey’s facial recognition system has been carefully designed and tuned to maximise performance. And when coupled with PeopleKey Nexus, allows for the adjustment of the template tolerance at an individual level. When a higher degree of biometric assurance is required, PeopleKey scanners are uniquely positioned to a combination of both facial and finger print recognition.
We present superior technology, enabling employees to enrol securely and confidently on the time scanner’s facial recognition system, effortlessly and more precisely. This, in turn, reduces read error rates for a more exact biometric enrolment and safeguards employees’ personal information. Additionally, it eliminates costly buddy punching and the subsequent wage fraud for employers.
How it works....
- The image of the face is captured via the PeopleKey scanner’s inbuilt camera.
- Using the onboard processor the image passes through an algorithm and is converted to a mathematical representation of that face.
- The image is disregarded
- The onboard processor then checks the local datastore of facial templates for a mathematical match.
- When found, the processor returns a verified status to the scanner and passes the valid clocking transaction through to PeopleKey Nexus.
- When not found, the processor returns an unsuccessful status to the scanner and passes an invalid verification transaction through to PeopleKey Nexus.