Face time and attendance systems

Face time and attendance systems

Biometric face time attendance and access control systems are designed to identify employees by their unique physiological features. Today, many technology companies, especially Apple, Samsung, and Google, integrate biometric authentication with their hardware. Unlike card-based time and attendance systems, employees cannot register their traffic logs instead of each other in the face and fingerprint access control systems.

Face time and attendance systems

Face recognition time attendance devices are the newest technology-based security solutions that they provide security at the workplace by recognizing facial features. Face recognition time attendance devices record facial features, and they save recorded patterns in the database or device memory. When employees stand in front of the attendance device, it receives the face employee and performs a three-dimensional or two-dimensional analysis of facial points that is unique to each employee; then, an adaptive pattern is obtained with predefined patterns. When authentication is successful, devices confirm employees' identity, and entrance or exit time of them will be registered. Otherwise, the act of identifying a person is not successful.

Face time attendance system vs. fingerprint access control system

  • Saving time and reducing disease: When diseases such as colds and viruses spread among employees can reduce the presence of employees at work. Employees can enter and exit in a shorter time by using a face recognition attendance device because there is no need to touch the surface of the time attendance device. It saves time and also minimizes the spread of diseases due to physical contact.
  • Face time attendance device can be useful for workshop environments, industrial sectors, building, and all the environments that people haven't healthy fingerprints according to their work or use physical of his body to do tasks. But in places such as office environments, government organs and etc. that work environment is healthy and without concern and involvement of body organs, using a fingerprint time attendance device can be a good choice for access control.
  • Face recognition time attendance devices have more passing through records than fingerprint time attendance devices, and it can be a good choice for places with more than 100 personnel, but in small offices with less staff, the use of fingerprint time attendance devices will be economically more economical.

Advantages of face time attendance and access control systems

The use of face recognition attendance device enables employers to track passing through and eliminate human error. It means that the exact number of employee's hours and their operation transferred to payroll the system of and the employer don't worry about overtime.

  • Automatic and precise system: Accurate face recognition reports all items of presence, absence, and overtime report. The identification process starts at any time with just an infinite speed. This system can match thousands of users in less than a second and provide information that is 100% correct without having to lift your finger.
  • Save time: Face recognition time attendance allows employees to register entrance or exit time without required to touch devices.
  • Escape from pen and paper system: Using face recognition time attendance device saves the cost of organization it also makes easy to keeping information because face recognition attendance systems use electronic media for store information instead of paper Also, the use of this system creates a good feeling among the employees of the organization.
  • Payroll management: The most important business process is Payroll management in any organization. Using a face recognition device reduces the hard work, and also it saves a lot of time that is calculated manually. Using a biometric time attendance system such as face and fingerprint time attendance device is known the only way to accurately calculate payroll system because time data can be kept automatically, and by the help of payroll software, the data enter quickly into a payroll system, and payment bill will make easily within a few hours.
  • Auto tracking system: Use of face recognition time attendance is a time tracking facelift without the need for personnel to monitor the system 24 hours a day. A face recognition time attendance device is like a smart person that removes human error with automatic systems. Time attendance system can accurately identify the presence, absence, and overtime reporting of a fast and accurate process by using face recognition technology. Using a face detection attendance system, you can manage and plan a record of the overall staff presence of the organization, including maintaining the time of entrance and exit, overtime, unregistered passing, absenteeism, missions, and everything. Also, the regularity of employees can be recognized through it, which ultimately can increase productivity Hours.
Three-dimensional face recognition
Three-dimensional face recognition

Three-dimensional face recognition

Three-dimensional face recognition uses three-dimensional sensors to get information about facial shapes. Then, this information is used to identify distinctive features on the surface of faces, such as eyes, nose, and chin.

History of most important face recognition events

  • 1960 - Face recognition becomes semi-automated The first semi-automatic face recognition system was developed by Woodrow W. Bledsoe under contract to the US Government. This system required the administrator to locate features such as eyes, ears, nose, and mouth on the photographs. This system relied solely on the ability to extract useable feature points. It calculated distances and ratios to a common reference point that was compared to the reference data.
  • 1970 - Face Recognition takes another step towards automation Goldstein, Harmon, and Lesk used 21 specific subjective markers such as hair color and lip thickness to automate face recognition. The problem with both of these early solutions was that the measurements and locations were manually computed.
  • 1993 - FacE REcognition Technology (FERET) program is initiated The FacE REcogntion Technology (FERET) Evaluation was sponsored from 1993-1997 by the Defense Advanced Research Products Agency (DARPA) and the DoD Counterdrug Technology Development Program Office in an effort to encourage the development of face recognition algorithms and technology. This evaluation assessed the prototypes of face recognition systems and propelled face recognition from its infancy to a market of commercial products.
  • 1994 - First iris recognition algorithm is patented Dr. John Daugman was awarded a patent for his iris recognition algorithms. Owned by Iridian Technologies, the successor to lriScan, Inc. – this patent is the cornerstone of most commercial iris recognition products to date.
  • 2001 - Face recognition is used at the Super Bowl in Tampa, Florida A face recognition system was installed at the Super Bowl in January 2001 in Tampa, Florida, in an attempt to identify "wanted" individuals entering the stadium. The demonstration found no "wanted" individuals but managed to misidentify as many as a dozen innocent sports fans. Subsequent media and Congressional inquiries served to introduce both biometrics and its associated privacy concerns into the consciousness of the general public.
  • 2004 - Face Recognition Grand Challenge begins The Face Recognition Grand Challenge (FRGC) is a US Government-sponsored challenge problem posed to develop algorithms to improve specifically identified areas of interest in face recognition. Participating researchers analyze the provided data, try to solve the problem, and then reconvene to discuss various approaches and their results – an undertaking that is driving technology improvement. Participation in this challenge demonstrates an expansive breadth of knowledge and interest in this biometric modality.
  • 2005 - Iris on the Move is announced at Biometrics Consortium Conference At the 2005 Biometrics Consortium conference, Sarnoff Corporation (now SRI International) demonstrated Iris on the Move, a culmination of research and prototype systems sponsored by the Intelligence Technology Innovation Center (ITIC), and previously by the Defense Advanced Research Projects Agency (DARPA). The system enables the collection of iris images from individuals walking through a portal.
  • 2011 - Biometric identification used to identify the body of Osama bin Laden Along with DNA, the CIA used facial recognition technology to identify the remains of Osama bin Laden with 95 percent certainty.

Face recognition attendance devices Palizafzar is quite reliable that you won't have time to worry about buying these devices. After installing the face recognition attendance system, you should set up once with the attendance software according to your organization's needs and programs and enjoy from services.