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  • 22-人脸识别静电测试立柱Facial-Recognition-Electrostatic-Testing-Column.webp

Facial Recognition Electrostatic Testing Column

Adopting industry-leading facial recognition algorithms, through multi-dimensional analysis and comparison of personnel facial features, it can quickly and accurately recognize personnel identity, with a recognition accuracy rate of over 98%, minimizing the occurrence of misidentification and omission.


Keyword:

Human body static electricity tester

Product details


Functional Features

Facial recognition function

High precision recognition: Adopting industry-leading facial recognition algorithms, through multi-dimensional analysis and comparison of personnel facial features, it can quickly and accurately recognize personnel identity, with a recognition accuracy rate of over 98%, minimizing the occurrence of misidentification and omission.

Multi angle adaptation: Supporting multi angle recognition technology, personnel do not need to deliberately adjust their posture. Whether from the front, side, or tilt angle, the device can quickly capture facial images and complete the recognition process, greatly improving the convenience and efficiency of recognition.

Rapid identification and response: With efficient identification and processing capabilities, the average identification time is less than 1 second, ensuring that personnel can pass quickly, reducing waiting time, and improving the efficiency of personnel flow in the workplace.

Human body electrostatic detection function

Precise detection: Using advanced resistance detection technology, it can accurately measure the resistance value of the human body, with a detection range of 100K Ω -1000M Ω. Users can flexibly set the testing threshold according to industry standards or enterprise requirements to meet the electrostatic protection needs of different scenarios.

Real time feedback: The detection results are displayed in real-time on the device's display screen. When the static electricity value exceeds the set safety threshold, the device will immediately emit sound and light alarm signals, including bright warning lights and clear alarm prompts, to remind personnel to pay attention to static electricity issues.

Automatic release: Equipped with professional static discharge function, while detecting human static electricity, personnel only need to touch the test button to quickly release static electricity in the body to a safe range, effectively eliminating static hazards.

Data recording and management function

Data storage: Using SQL Server database, it can store a large amount of personnel identification information and electrostatic detection data, providing sufficient data support for subsequent data analysis and management.

Data query: Supports historical data queries based on various criteria such as time, personnel name, department, etc. Management personnel can easily input query conditions through the device's operating interface, quickly obtain the required historical data, and facilitate statistical analysis.

Data export: The stored data can be exported to common file formats such as Excel, CSV, etc., which facilitates integration with other management systems and data sharing, achieving comprehensive utilization and deep mining of data.

Email sending: Supports sending test data to designated email addresses at regular intervals every day, making it convenient for management personnel to timely understand the operation status of equipment and personnel's static electricity detection data, in order to make timely decisions and processing.

Technical parameters

Facial recognition part

CPU: Equipped with RK3288 quad core processor, with a clock speed of up to 1.6 GHz, it has powerful computing power and data processing speed, ensuring efficient operation of facial recognition.

Memory: The running memory is 2GB, with a storage capacity of 8GB, which can meet the storage and processing needs of devices for large amounts of data, ensuring the stable operation of the system.

Facial recognition: Equipped with a 200W RGB+IR binocular camera, it provides more accurate and reliable facial recognition function through dual acquisition of visible and infrared light, even under different lighting conditions, accurately identifying personnel identity.

Operating System: Equipped with Android 7.1 version operating system, it has good compatibility and stability, making it convenient for users to set up the system and expand its functions.

Dimensions: 199.4mm × 148.79mm × 24.5mm, compact design, easy to install and integrate into various application scenarios.

Display screen: Adopting an 8-inch full view 170 ° IPS LCD screen, the display is clear, the colors are bright, the viewing angle is wide, and it is convenient for personnel to view device information.

Resolution: 800 × 1280, providing high-definition display effect, ensuring the accuracy and readability of information display.

Working voltage: DC 12V, stable power supply, meeting the normal operation requirements of the equipment.

Working temperature: -20 ℃~60 ℃, suitable for a wide range of environmental temperatures, ensuring the normal use of equipment under different climatic conditions.

Working humidity: 20% to 90% (in a non condensing water droplet state), with good humidity adaptability, effectively preventing equipment damage caused by humid environments.

Peripheral interface: Equipped with various peripheral interfaces such as RS485, USB × 2, Ethernet, WIFI, etc., it facilitates data transmission and communication with other devices, achieving system integration and expansion.

Static detection section

Dimensions: 119mm × 131mm × 31mm, designed reasonably, easy to install and embed into various workplace facilities.

Working voltage: DC 9V-12V, with a wide range of power supply adaptability, ensuring stable operation of static electricity detection function.

Working current: 200mA, low power consumption, energy-saving and environmentally friendly.

Working temperature: -10 ℃~70 ℃, suitable for a wide temperature range, ensuring electrostatic detection accuracy in different working environments.

Working humidity: 90% RH (non condensing), with good humidity tolerance, effectively avoiding the influence of humid environment on test results.

Built in interface: Dual band card reader, capable of reading most RF cards on the market such as IC and ID. If you need to read encrypted cards, please inform us in advance to meet the identity recognition needs of different users.

External interfaces: single loop wristband socket, dual loop wristband socket, test button RS485、 Weigen Communication x 2, dry contact signal x 2, dual foot pedal signal, with rich interfaces for easy connection and data exchange with other devices.

Detection accuracy:<100M Ω=5%, 100M Ω -1000M Ω=10%, high detection accuracy, can accurately reflect the static electricity status of the human body.

Overall parameters

Power supply: AC 220V, 50Hz, using standard power supply, convenient for connecting to various workplace power systems.

Power: 15W, low power, low energy consumption, reducing usage costs.

Size: 900 × 410 × 1500 (mm), reasonable overall structural design, small footprint, suitable for installation and use in various venues.

Weight: 20kg, moderate weight, easy to handle and install.

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