SpeedFace-TM900 Face Recognition Attendance System

Face Recognition Attendance System

Face Recognition Attendance System need a database or a pre-recorded data set to compare captured images and identify faces. A recent report out of China stated that a school has installed facial recognition technology in its classrooms to monitor students’ behavior (Source: BusinessInsider). In the same way, these cameras could be used to identify students and record their attendance in a class. With photos submitted to schools for various forms and documents, the students’ faces could be added to data sets to record their attendance in the respective classes. Most offices and government buildings use biometric systems for logging in work hours and restricting access to only those people that are permitted. Although Face Recognition Attendance System is now being implemented in many countries for this purpose, they still largely rely on fingerprint sensors because of the lower chance of duplication and fraud. The downside to this is that recording a fingerprint is a task that requires relatively more effort. By far the most interesting implementation of Face Recognition System in attendance systems is that of event attendance. The deployment of this system poses many benefits, especially for large events. Currently most events such as large corporate conferences and music concerts still largely rely on tickets, passes, and scanning of barcodes. When audience numbers hit the late hundreds and even the thousands, the inefficiency of current systems begin to show. Checking tickets and scanning barcodes is a process that can take time depending on numerous variables.

Long range face recognition system

we describe about Long range face recognition system in which face video database obtained from Long Distances and with High Magnifications, IRIS- LDHM. Both indoor and outdoor sequences are collected under uncontrolled surveillance conditions. The significance of this database lies in the fact that it is the first database to provide face images from long distances (indoor: 10 m ~ 20 m and outdoor: 50 m ~ 300 m). The corresponding system magnification is elevated from less than 3times to 20times for indoor and up to 375times for outdoor. The database has applications in experimentations with human identification and authentication in long range surveillance and wide area monitoring. The database will be made public to the research community for perusal towards Long range face recognition system related research.

Face Recognition with Temperature

Face Recognition with Temperature is used to face recognise and Temperature detection. Engineered with state-of-the-art sensor technology, its temperature detection distance is up to 2 meters, which provides safe screening to staff and visitors before entering the premises or venues. If an abnormal temperature is detected, the system sets off an alarm, or denies access when employing in the GateGuard automated access control system.

Feature of SpeedFace-TM900 Face Recognition

• Better hygiene with touchless biometric authentication, temperature detection and masked individual identification
• Anti-spoofing algorithm against print attack (laser, color and B/W photos), videos attack and 3D mask attack
• Multiple Verification Methods: Face / Palm / Fingerprint / Card / Password
• Mask detection
• Temperature Measurement Distance: 30 ~ 50cm (1~ 1.64ft)
• Temperature Measurement Accuracy: ±0.3°C
• Temperature Measurement Range: 34 ~ 45°C (93.2 ~ 113°F)
• • Connects to secure door control unit via RS-485 protocol to avoid the door opening when the terminal is destroyed