Description
1. USB wired barcode scanner to capture 1D, 2D code on labels, paper, mobile phone or computer.
2. High-efficiency recognization and high upload speed for improving your working efficiency.
3. With buzzer for reminding you that the scanning successfully or not.
4. Compatible with UART interface.
5. Over 180 configurable options
6. Macro support replace a string in the bar code with another
7. Programmable preamble postamble and termination strings
8.Superior reading performance utilizing advanced decoding algorithms
Specifications
| Parameter | Performance |
| Sensor | CMOS |
| Scan Mode | 640*480 |
| Indicator Light | Green light as read successfully |
|
Read Code Type
| 1D: EAN-13, EAN-8, UPC-A, UPC-E ISSN, ISBN, CodaBar,Code 128,Code 93
ITF-14, ITF-6, Interleaved 2 of 5, Industrial 2 of 5,Matrix 2 of 5,Code 39,
Code 11, MSI-Plessey,GS1 Composite,GS1-Databar (RSS) |
| 2D: QR Code , PDF417, Data Matrix, Micro QR, Micro PDF417, Aztec |
| GM861S
Reading Distance |
5-30cm
|
| Contrast* | >25% |
| Scan Angle** | Roll: 360° Pitch: 65° Yaw: 65° |
| Viewing Angle | 67° (Horizontal) 53° (Vertical) |
| Accuracy of reading* | ≥10mil |
Mechanical/electrical Parameters:
| Parameter | Performance |
| Interface | TTL-232/USB |
| Size(mm) | Diameter 20.9mm Height 6.2mm |
| Weight | 2 g |
| Prompting Mode | LED Indicator |
| Operating Voltage | 3.3V |
| Operation Current | 70mA(Max) |
| Standby Current | ≤6mA(Typical) |
| Startup Time | ≤250mS (Typical) |
Environmental Parameters:
| Parameter | Performance |
| Operating Temperature | -20ºC~60ºC |
| Storage Temperature | -40ºC~+100ºC |
| Operating Humidity | 5%~95%(Non-Condensing) |
| Environmental Light | Normal indoor light source |
| Fall | Withstand 1.2 m drop on concrete floor (50 times 1.2 m drop on concrete floor repeatedly) |
Files
·Provide User Manual
·CE Certificate
Optimization Design and Application of Self service Terminal QR Code Recognition System
In the process of digital transformation, self-service terminal devices serve as an important medium for connecting users and services, and their performance directly affects the overall service quality. Among them, the QR code recognition function, as one of the most core interactive methods of modern self-service terminals, directly determines the operational efficiency and user experience of the terminal equipment through the selection and integration quality of its modules. This article will systematically explore the selection strategy and integration points of self-service terminal QR code modules, providing reference for relevant practices.
From the perspective of practical application scenarios, self-service terminals may face completely different operating environments. Indoor terminal devices are usually deployed in environments with stable lighting and controllable temperature and humidity, while outdoor terminals need to cope with complex situations such as strong light exposure and rainwater erosion. This requires that when selecting a QR code module, its environmental adaptability must be fully considered, including specific parameters such as the sensitivity of optical sensors and the level of enclosure protection. At the same time, the operating habits of different user groups will also put forward differentiated requirements for module performance. For example, elderly people may need larger recognition fault tolerance space, while young people pay more attention to scanning response speed.
In terms of technical performance evaluation, the recognition efficiency and quality of the QR code module are key indicators that need to be considered. An excellent QR code module should be able to complete recognition within 0.5 seconds and maintain stable depth of field performance, ensuring accurate reading at different distances. Especially in environments with complex lighting conditions, sensors using global exposure technology often demonstrate better adaptability. In addition, the types of barcodes that modern self-service terminals need to handle are becoming increasingly diverse, from traditional paper barcodes to dynamic QR codes on mobile phone screens, which puts higher demands on the decoding ability of modules. The ideal solution should be able to automatically adapt to barcodes of different materials and contrasts, and maintain a high recognition rate even in situations of reflection or partial contamination.
Power management is another crucial factor that cannot be ignored. For mobile terminal devices powered by batteries, the energy consumption level of the QR code module directly affects the device's battery life. Modern low-power designs typically use intelligent wake-up mechanisms to maintain microampere level current in standby mode, while quickly responding at recognition moments. This dynamic power management technology can significantly extend the usage time of devices, especially suitable for application scenarios that require long-term unmanned operation.
To ensure the long-term stable operation of the equipment, comprehensive reliability testing is indispensable. This includes stability testing under simulated extreme temperature conditions, structural integrity testing under mechanical vibration environments, and circuit protection testing during sudden voltage fluctuations. Through these rigorous testing processes, potential design defects can be identified early on, improving the overall reliability of the product. Before actual deployment, large-scale real-world testing is needed to collect feedback from real users to further optimize recognition performance.
In the specific integration process, professional technical support and standardized integration processes are equally important. Choosing suppliers with rich industry experience can provide more comprehensive technical documentation and more targeted solutions. Meanwhile, strictly following the electrical interface specifications and mechanical installation requirements of the module can avoid many potential compatibility issues. It is worth noting that the material selection of the scanning window can also significantly affect the recognition effect, and materials with appropriate light transmittance and anti glare characteristics need to be selected according to the specific environment.
From the perspective of user experience, an excellent QR code recognition system should achieve "no impact" operation. This requires collaborative optimization of hardware recognition speed and software interface design. Clear visual guidance, real-time operational feedback, and concise process design can effectively improve user satisfaction. At the same time, the system should have a certain level of intelligent learning ability, which can continuously optimize recognition algorithms and interaction processes by analyzing user behavior data.
With the popularization of mobile payments and digital services, QR code recognition technology has become an indispensable core function of self-service terminals. Through scientific selection strategies and standardized integration methods, a self-service system with stable performance and excellent user experience can be constructed. In the future, with the development of artificial intelligence and IoT technology, QR code recognition modules will evolve towards smarter and more integrated directions, bringing more innovative application possibilities for self-service terminals. During this process, continuously monitoring changes in user needs and technological trends, and adjusting product strategies in a timely manner, will be the key to maintaining competitiveness.
