![face recognition time attendance face recognition time attendance](https://www.injes.com/uploadfile/202004/05/8771e1df323496428c97acb248c3eba3_medium.jpg)
#Face recognition time attendance verification#
High Recognition Accuracy: Verification Rate (VR) is higher than 99% and False Acceptance Rate (FAR) is lower than 0.01%.ZKS Group can provide ZKS time attendance system based on embedded devices with remote control.) ZKS System incorporates ZKS Facial Recognition algorithms and intelligent time attendance technology and meets the fast-growing demands for time & attendance environments, such as Bank, Office, Business Building, Apartment and more. In case of matching, system sends logs to server for storing. (ZKS Group offers a complete time attendance management solution that recognizes one person by comparing live captured facial images with previously registered facial images of the person. It is also suitable for commercial markets, such as, Enterprise, Bank, factory and so on. Its classic precision and industrial design are very suitable for Government and big Organizations. The solution also provides clock in/out time entry.ZKS-F10 an embedded facial recognition system with the latest version of leading “ZKS™” facial recognition algorithm, which applied for high level time attendance applications. Thanks to that, employees wearing masks can easily travel in and out of facilities. It allows for touchless authentication and serves the health center amid the coronavirus crisis. Our solution is a custom face recognition attendance system with mask detection feature. Result: a decline in coronavirus cases among employees Within the beta-testing period, we were enhancing face recognition accuracy by experimenting with different types of masks, wrong mask-wearing, bad lighting, and multiple people in the frame.Īs a result, we’ve achieved a 91% accuracy in masked face detection. If it’s a match, the employee gets in, if it’s not, the security team gets notified about the unwanted person on the premises.An employee tries to enter the facility with their face.Detecting and recognizing these facial features, the system can verify the employee’s identity with mask on.Unique facial features (wrinkles, facial hair, etc.).Eyes (setting, eye centers, interpupillary distance).We trained our solution to recognize face attributes like: Our team researched the latest studies and decided to use AI and ML for face mask detection and recognition. The camera at the center’s entrance captured face data and sent it to the server for image processing – detection, encoding, and recognition. Then, we collected 800+ health center employees’ images, sorted and labelled them with names. Our team of engineers defined the workflow of the future face recognition time attendance software: To start, we researched masked face datasets and 80+ of open-source solutions related to face mask detection. The key focus should be on masked face recognition because the healthcare team at the center is required to wear masks. The client emphasized that they needed a real-time smart attendance system using face recognition techniques. Solution: face recognition time attendance management system against the COVID-19 To get a consultation on facial recognition time clock software, they contacted InData Labs, an AI and facial recognition service provider.
![face recognition time attendance face recognition time attendance](https://is2.ecplaza.com/ecplaza2/products/d/d8/d8a/1081289315/face-recognition-time.jpg)
They needed a solution that would allow masked face recognition. Changing the way healthcare workers clock in and out could decrease the spread of the virus. In this case, biometric touchless authentication could become a solution. Cleaning and disinfecting touched surfaces lowered the chance of the virus spreading but didn’t solve the problem.
![face recognition time attendance face recognition time attendance](https://ae01.alicdn.com/kf/Ha3682eaac37244269442ff63b3c65011V/ZK-Uface303-Iface303-TCP-IP-Fingerprint-Face-Facial-Recognition-Time-Attendance-Door-Access-Control-System-Optional.jpg)
To combat the virus, they have enhanced precautions and provided the front-line care team with personal protective equipment (PPE). The COVID-19 pandemic has amplified deficiencies of the client’s health center. Challenge: prevent virus spread through touched surfaces To combat the virus, they decided to go for biometric face recognition time attendance software. Since the COVID-19 outbreak, the center has been bursting past capacity.