Ma'anshan construction site access control system/Dangtu intelligent channel access control manufacturer construction site access control system strengthens the management of the entry and exit of construction site workers by setting up entrance and exit controls at the gate, verifying the door opening through card swiping or other recognition methods (such as password, fingerprint, facial recognition, etc.), accurately counting the number and list of personnel in each department, and displaying real-time personnel information on the site through an external LED display screen (LED screen can display the number of personnel entering and leaving each department, detailed information of personnel entering and exiting, etc.).
Ma'anshan construction site access control system/Dangtu intelligent channel access control manufacturer
Visual characteristics of facial features:
1. There is not much difference between individuals, and the structure of all faces is similar, even the shape of the facial structure is very similar. This feature is advantageous for using facial recognition for localization, but disadvantageous for using facial recognition to distinguish individual humans;
2. The shape of the face can generate many expressions through facial changes, and the visual image of the face also varies greatly from different observation angles. In addition, facial wing gate recognition is also affected by various factors such as lighting conditions (such as day and night, indoor and outdoor, etc.), many coverings of the face (such as masks, sunglasses, hair, beards, etc.), and spring and autumn. In facial wing gate recognition, one type of variation should be magnified as a scale to distinguish individuals, while the second type of variation should be eliminated because they can represent a unified individual. One type of change is usually referred to as inter class change, while the second type of change is referred to as intra class change. For faces, intra class changes are often greater than inter class changes, making it extremely difficult to distinguish individuals using inter class changes when disturbed by intra class changes.
Main parameters:
Time required to enter traffic mode after power on: 3 seconds
Chassis size: 1200 length * 280 width * 980 height (mm)
Automatic reset time after malfunction: 10 seconds
Drive mode: Electromagnetic 24V
Working environment: indoor or outdoor (with rain rack)
Reading and writing methods: ID card, IC card, magnetic card, barcode reader, etc
Input interface: switch signal (COM port is ground)
Channel width: 550mm
Working temperature: -40 ℃ -80 ℃
LED indicator lights: 1-3 pieces
Chassis material: SUS304 stainless steel/baked paint
Card reading windows: 1-2
Electromagnetic switch time: 1-3 seconds
Adaptation to humidity: 5% -90%
Traffic speed: 30-40 people/minute
Ma'anshan construction site access control system/Dangtu intelligent channel access control manufacturerFunction:
External electrical interface, capable of attaching various read-write devices for easy system integration
Card permission for single/multiple passes
Equipment external power supply AC110V/220V on-site adjustment
Traffic indication, channel indication (outdoor ultra-high brightness)
Counting function (optional)
Automatic closing/delayed closing (time adjustable)
Illegal intrusion alarm
Can run offline and online
Remote control switch to meet special needs and fire safety requirements
Mechanical/electronic control optional
Lightbox advertisement (optional)
Power off the pole and remotely control the pole
The swipe IC card and fingerprint (palm print) are two familiar and commonly used access control recognition systems. The advantages of facial recognition in the wing gate access control system are as follows:
Although facial recognition has many advantages that cannot be compared to other wing gate recognition, it also has many inherent problems. Facial recognition is considered one of the challenging research topics in the field of biometric wing gate recognition and even artificial intelligence. The main challenge in facial wing gate recognition is the characteristic of the face as a biometric feature.
The characteristic of being unnoticed is also important for the identification method of wing brakes, as it makes the method less offensive and less likely to be deceived due to its lack of attention. However, facial recognition has the characteristic of using visible light to obtain facial image information. Unlike fingerprint wing gate recognition or iris recognition, it requires the use of electronic pressure sensors to collect fingerprints or infrared to collect iris images. These special collection methods are easily detected by people and are more likely to be deceived.