Improving Workforce Accountability and Productivity with a Biometric Time Clock

If you have identified employee accountability as an issue for your business, you may have already taken measures to find the source behind the problem. Most likely, you have looked into the effectiveness of your leadership, the clarity of your strategic direction, employee engagement, and the execution philosophy of the firm. You may have also studied your employee monitoring and review system. Chances are if you took this step then you probably studied what technology you are using to help keep the gears of the business machine operating. If you suddenly discovered that you are not using modern technology to safeguard your inventory and profits and more effectively track employee time and attendance with a biometric time clock, you may have uncovered a crack in the shell of your staff accountability platform. Read the full post from here.

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Iris Recognition vs. Retina Scanning – What are the Differences?

In biometrics, iris and retinal scanning are known as “ocular-based” identification technologies, meaning they rely on unique physiological characteristics of the eye to identify an individual. Even though they both share part of the eye for identification purposes, these biometric modalities are quite different in how they work. Let’s take a closer look at both and then explain the similarities and differences in detail: Retinal Scanning: The human retina is a thin tissue composed of neural cells that are located in the posterior portion of the eye. Because of the complex structure of the capillaries that supply the retina with blood, each person’s retina is unique. The network of blood vessels in the retina is so complex that even identical twins do not share a similar pattern. Although retinal patterns may be altered in cases of diabetes, glaucoma or retinal degenerative disorders, the retina typically remains unchanged from birth until death. (Source: Wikipedia) ...

False Rejection Rate – What Does It Mean And Why Should I Care?

False reject rate is a statistic used to measure biometric performance when operating in the verification task and it usually calculated as the percentage of times the system produces a false reject. A false reject occurs when an individual is not matched to their own existing biometric template. For example: John claims to be John, but the system incorrectly denies the verification. This can be particularly frustrating for an end user who knows that they are enrolled in the system and should be recognized and verified, but for some reason the system is incorrectly rejecting their scan. This can cause unnecessary logjams, affect service, frustrate staff and negatively impact productivity.

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