On May 11, 2021, Dalianda Holdings, a leading semiconductor component distributor committed to the Asia-Pacific market, announced that its subsidiary Quanding launched a multi-finger gesture recognition solution based on PixArt PAC7640LT + PAG7661QN.

2024/11/2223:00:33 hotcomm 1310

On May 11, 2021, Dalianda Holdings, a leading semiconductor component distributor committed to the Asia-Pacific market, announced that its subsidiary Quanding launched a multi-finger gesture recognition solution based on PixArt PAC7640LT + PAG7661QN.

On May 11, 2021, Dalianda Holdings, a leading semiconductor component distributor committed to the Asia-Pacific market, announced that its subsidiary Quanding launched a multi-finger gesture recognition solution based on PixArt PAC7640LT + PAG7661QN. - DayDayNews

Illustration 1 - Scenario application diagram of the multi-finger gesture recognition solution launched by Dalian Daquanding based on PixArt products

In order to enable people to communicate with smart devices more naturally and comfortably, gesture recognition technology came into being. In recent years, with the rapid development of smart terminals, the high popularity of AR/VR, and the acceleration of the Internet of Everything, gesture recognition has been pursued by major manufacturers as a more humane interaction method. Dalian Daquan Ding launches a multi-finger gesture recognition solution based on PixArt PAC7640LT + PAG7661QN, which can support single object/multiple object detection and provide more accurate and reliable gestures for various applications including business, IoT and games. product.

On May 11, 2021, Dalianda Holdings, a leading semiconductor component distributor committed to the Asia-Pacific market, announced that its subsidiary Quanding launched a multi-finger gesture recognition solution based on PixArt PAC7640LT + PAG7661QN. - DayDayNews

Illustration 2-Dalian Daquan Ding launches a display board of a multi-finger gesture recognition solution based on PixArt products

PixArt was established in July 1998 and is mainly dedicated to the design, research and development, production and sales of CMOS image sensors and other application ICs. . PixArt has rich experience in analog IC design, image sensing IC design and image processing IC design, and is currently quite influential among global CMOS image sensor manufacturers.

This solution combines PAC7640LT (Sensor) + PAG7661QN (DSP) + LST0-227 (Lens) with an independent ISP SoC. It has complete algorithm support and can provide a comprehensive solution for product development. This solution supports a variety of gesture recognition: gestures of making a fist or extending 1-5 fingers in a static state, extending 1-5 fingers to move towards the sensor, pinching with two fingers, unique thumb mode, etc.

On May 11, 2021, Dalianda Holdings, a leading semiconductor component distributor committed to the Asia-Pacific market, announced that its subsidiary Quanding launched a multi-finger gesture recognition solution based on PixArt PAC7640LT + PAG7661QN. - DayDayNews

Figure 3 - Dalian Daquan Ding launched a block diagram of a multi-finger gesture recognition solution based on PixArt products

Among them, PixArt PAC7640LT is a global shutter image sensor with enhanced functions, with a package size of 3.45mm x 3.45mm x 0.76mm (CSP). It features 400 x 400 resolution, 120 frames per second (fps) image capture capability with an integrated image sensor ISP. In addition, PAC7640LT also allows multiple cameras to be synchronized, supports 3D type applications, and register settings through I2C to control all ISP functions.

PAG7661QN itself is a programmable digital signal processor (DSP). It mainly converts DATA/CLOCK/FSYNC to USB/I2C/SPI through MIPI. It can read predefined values ​​immediately through I2C or SPI or USB1.1. Gesture results greatly save MCU processing resources.

core technology advantages:

is based on infrared image analysis technology, and the hardware supports hand shape recognition algorithm;

has built-in hardware algorithm and fast response speed;

supports real-time output Palm and finger signals increase application flexibility;

can read predefined gesture results through I2C or SPI or USB1.1, greatly saving MCU computing resources;

has a compact design;

provides free hardware reference designs and software reference codes.

solution specifications:

Operating Distance: 5~40cm;

Communication interface:

I2C, SPI and USB1.1 for Gesture result output;

USB 1.1 for Image mode (50x50);

5V power supply;

2 LEDs;

FOV (horizontal) = 77deg;

4L PCB, size: 55.5mm x 10mm.

About Dalianda Holdings:

Dalianda Holdings is the world's number one and the largest semiconductor component distributor in the Asia-Pacific region*, headquartered in Taipei (TSE:3702), which owns Shiping, Pinjia, Quanding and Youshang, has about 5,000 employees, about 300 agent product suppliers, and about 100 distribution locations around the world. In 2020, its turnover (* since settlement) amounted to US$20.66 billion.Dalianda creates an industrial holding platform, focuses on international operation scale and localization flexibility, and has long-term deep penetration in the Asia-Pacific market. With the vision of "Industry First Choice. Access Benchmark", it fully implements the core values ​​of "Team, Integrity, Professionalism, Efficiency" , won the "Global Distributor Excellence Award" for 20 consecutive years. Facing new manufacturing trends, DLA strives to transform into a data-driven enterprise, build an online digital platform - "Dada.com", and advocate an intelligent logistics service (LaaS, Logistics as a Service) model to assist customers in jointly facing the Challenges to smart manufacturing. Starting from good intentions and using technology to build trust, Great Alliance hopes to build an ecosystem of great competition and cooperation with the industry's "Labor Alliance", and "focus on customers, empower technology, collaborate with the ecosystem, and create an era together" 16 The word mind method actively promotes digital transformation. (*Market ranking based on data published by Gartner)

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