Findd introduces biometric time clock application

Utah-based startup Findd has developed a biometric time clock application for companies with mobile and field-based workforces that can be downloaded on any Android or iOS device to instantly turn it into a mobile time clock; for use by an individual on their phone or on a tablet in a team setting.

According to a company statement, Findd’s facial recognition time clock is how easy it is to deploy. “With our solution there is no proprietary hardware, so the client has the ultimate freedom to select the tablet or phone of their choice,” said Tom Loveland, CEO and co-founder of Findd. “In the time and attendance industry there are hundreds, if not thousands, of time clock manufacturers, all with expensive and proprietary hardware. We’ve disrupted that and provided small and large organizations alike with a solution so easy to adopt, they can literally download it and start using it in minutes instead of waiting months to rollout a solution.”

Vince Wong, Janitronics CFO, commented that Findd’s new mobile facial recognition takes time tracking technology to the next level. “We’ve had tremendous success with facial recognition over the last two years but Findd brings the next generation of simplicity and efficiency with a solution that is extremely easy to adopt and with clear organizational value.

At Janitronics we have over 1500 employees working at 165 locations and require a solution we can trust to accurately track time and avoid fraud. Using Findd’s facial recognition technology we have full view of every person clocking in. It provides us and our clients security in knowing exactly who is working in our buildings. This coupled with the ability to use the Findd mobile application on our own tablets without having to purchase any proprietary clock hardware is what makes Findd special. Our employees can arrive at any location and with a quick selfie get right to work servicing our clients.”

Article Topics

biometric application  |  biometrics  |  face photo  |  facial recognition  |  identity verification  |  time and attendance