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A facial recognition time clock is a system that uses facial recognition technology to track and record employee attendance and working hours. This system works by analyzing a person's facial features and matching them against stored data.
Timeero’s facial recognition software uses an employee’s profile photo to generate a unique digital template. When employees clock in or out, they simply stand in front of the camera while Timeero’s facial recognition software captures their facial profile, and compares it to the digital template created for accuracy. If the profile photos match, their attendance is logged in real time.
The recorded attendance data is then integrated with the payroll system which processes and verifies the data automatically. This verification method takes mere seconds! And to top it off, the data recorded cannot be manipulated by employees.
Facial recognition technology is a biometric verification technology that uses a person’s unique facial features and mappings. It relies on machine learning and advanced algorithms to process a person's facial features into a unique digital ID.
The technology works in several phases.
First. the user provides a photo of a person’s face through a photo or a live stream.
Second. This phase is most commonly known as “face detection”. Here techniques such as computer vision are used to detect a face and isolate it from other objects and the background.
Third. Facial recognition technology then analyzes key features to create a unique digital mathematical representation, known as a “face print”.
Fourth. The employee’s face print is then compared to the original profile photo. If the two images match, the user is verified and granted access to your company’s timeclock.
Your company can benefit in many ways from using a time clock with facial recognition technology.
Facial recognition technology benefits your company by…
If you’re running short on time and would like to learn how facial recognition technology will improve your business operations, watch our short video below.
Your time clock system can not be easily manipulated because attendance logs are taken in real-time. Employees can not clock in for one another because they must be physically present to record their own attendance.
Employees are clocked in and out based on real-time facial scans. Your company’s payroll system can be integrated with your facial recognition system to automate data processing and eliminate the risk of reporting errors.
Time clock systems can be integrated with your access control system, ensuring that only people with authorized access can enter or change time entries. Facial recognition systems help your company keep track of who enters and exits the workplace.
Facial recognition systems help businesses stay compliant with applicable labor laws and regulations, preventing legal disputes. Time clocks with facial recognition software provide managers and administrators with detailed attendance logs to prevent employee burnout and underpayment.
Employers receive detailed attendance reports to ensure fair performance evaluation. When employees know that their work hours are being monitored for accuracy, they are more likely to fulfill their work responsibilities and take ownership of their actions.
Time tracking systems can be integrated with your payroll system to eliminate manual data entry, reduce excessive corrections, and streamline your payroll processes.
The data obtained from facial recognition systems is detailed and very insightful. These reports can be used to measure productivity, track overtime, identify areas for improvement, and tailor work hours to meet organizational needs.
To help you decide which time tracking method is right for your business, we’ve compared how well traditional time tracking methods and facial recognition systems help you meet operational standards.
When deciding which facial recognition time clock to adopt, ask yourself the following questions as you narrow down your choice to software options.
Contact us to discuss your requirements of face recognition tablet. Our experienced sales team can help you identify the options that best suit your needs.
Most importantly, facial recognition systems have access to sensitive employee information. The system that you choose should encrypt data to prevent breaches of privacy, while complying with regional privacy laws.
If you are looking for a face recognition time clock app, Timeero is the solution for you. Timeero’s GPS time tracking software provides a comprehensive facial recognition feature that transforms the way you track employee time and attendance.
Enabling Timeero’s face recognition is easy. Follow the steps below to activate this technology on your company’s mobile device.
Note: Timeero’s kiosk app is currently only available for iOS devices.
To record several biometric points or facial features, Timeero uses biometric facial recognition technology to examine the general shape of the employee's face (from the original profile photo). It then joins and aligns these reference points to produce the employee’s unique facial template.
In the event there is a face mismatch, administrators are immediately notified and the time entry is flagged. However, employees are still allowed to clock in and begin working.
If a manager is not able to investigate the time entry immediately, they can look into the matter during timesheet approval. Timeero also attaches employees’ pictures taken during clock-in to each timecard, making it even easier for administrators to identify fraudulent activities.
One of the best things about Timeero’s facial recognition feature is that it still works without an internet connection. Once internet connection is restored, all time clock entries will be uploaded to the cloud.
Companies that choose to use facial recognition technology experience…
When choosing a facial recognition system, look for software features that promote accuracy, security, scalability, and integration capabilities. Timeero’s facial recognition system does all this and more.
Facial recognition software is already widely used in airports, crowd-control management and other use-cases for which there’s a need to identify large groups of people from an existing database in a non-intrusive way.
It is also used to gain access, deliver personalised advertising messages, enhance the mobile user experience, and so much more in our every-day lives.
Although still only used sparingly at conferences and events, facial recognition software has similar potential benefits for the planner.
People are already uploading their faces to FaceApp’s Russian servers to see how they will age. It is hardly a stretch that, as long as organising companies clearly communicate how images will be used, stored and deleted, attendees will weigh up the value exchange and see the benefits of agreeing to facial recognition solutions.
Get ahead of the trend and read all about the five benefits of incorporating facial recognition into your conferences and trade shows.
One of the major pain points for event attendees is a slow check-in process. Bottle-necks are often caused by other delegates arriving with their hands full and not being able to locate their badge or the QR code on their .
Planners always have the option of increasing the number of check-in desks or registration staff, but that hikes up the cost. Facial recognition, on the other hand, allows pre-registered visitors to walk-up to a terminal with their smartphone, tablet or laptop, smile at a camera and be instantly identified, without them even having to put their bags down.
Facial recognition is an effective way to record who attends which sessions. It requires minimal set-up and extracts analytics in a non-intrusive manner (no more having your badge scanned each time you enter a room).
It can be as simple as placing a tablet on a stand near the entrance of each room. The software will record people entering and exiting and send it straight to the cloud for facial analysis.
By gaining a deeper understanding of who is interested in certain types of conference streams, you can plan future content accordingly.
Providers of facial recognition technology believe that the first time an event planner introduces the option to check-in by uploading a headshot in advance, 50-60% of attendees will cooperate by uploading their photo. Once those delegates tell others how fast and easy the check-in process was, the opt-in rate is expected to grow for future events.
For those early adopters, your event has provided additional value and an enhanced experience. For everyone else waiting on their badge to print, the fact that a large percentage of attendees are now moving seamlessly through the check-in process will help address the bottle-neck and relieve the queuing pain-point for everyone.
Exhibitors at a trade show or conference can access the event’s facial database to help them recognise attendees who have fixed pre-scheduled appointments.
Instead of exhibitors scanning the person’s badge and manually entering all the relevant information into a lead retrieval system, on-stand facial recognition software will keep track of who visited, how long they stayed and even how they were feeling during your meeting.
These analytics, combined with information collected before and after the show, allows for better lead management.
For events that require tight security, attendees can be asked to take a picture of their ID along with a selfie when they register online.
A facial recognition algorithm will ensure that it is a real picture and that the two faces match.
Other computer vision algorithms will then perform the rest of the checks in real-time when the person arrives at the venue.
People are becoming increasing comfortable with ID checks for online activities such as banking. As facial recognition plays an ever-greater role in our day-to-day lives, we will also learn to accept and embrace it as part of the event planner’s toolkit.
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