Human-Machine Interaction

1. LED Display and Touch Technology

Capacitive multi-touch, slider and roller touch technology, LED display module, LED display and touch integrated module, LED backlight technology vacuum-sealed with PCB design.

LED display and touch integrated module

Spring type, PCB type, PET-ITO film type, integrated structure type.

2. Graphic User Interface Control Panel

(1) Mid-to-high-end graphic user interface controllers for complex multi-application

Based on multi-core processors, Android/Linux, and high-resolution TFT-LCD touchscreen display.

Android trimming optimization, BSP porting and implementation, camera driver development.

Integrated image recognition, voice recognition, gesture recognition components and various sensors.

(2) Mid-to-low-end graphic user interface controllers for relatively simple applications

Based on single-core processors, microkernel RTOS and small-sized TFT-LCD. Compact structure, low cost, simple interaction, and fast response. Integrated voice recognition, gesture recognition components, and various sensors. Used for control panels of washing machines, air purifiers, thermostats, massage chair line controllers, etc., with customized graphical user interfaces.

3.Voice Recognition and Processing

(1) Non-stationary noise suppression

Offline smart home voice controller

Front-end noise reduction technology (non-stationary noise suppression)

Distributed speech recognition and arbitration

Home appliance control semantic library

(2) Offline voice recognition module

Offline voice recognition, customized development and services for specific scenes, instruction prediction in specific scenarios.

Non-stationary noise suppression, water flow, valve, and electronic noise.

Offline and online hybrid voice recognition, can connect to smart speakers and content services.

4. Infrared, Electric Field Gesture Recognition Components

Precisely recognize upward, downward, leftward, rightward, clockwise and counterclockwise rotation, approach and retreat gestures. Two complementary sensing technologies provide higher recognition rates and a larger detection range. The upper computer monitoring software visualizes the collected data from various sensors, provides testing modes and recognition accuracy statistics, facilitating the optimization of detection algorithms.