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.