works
NEXTLab has been variously working with the customers based on our own automated testing and Deep Learning technology.
01. Automated Evaluation System for QoE (Quality of Experience) of VR device
In-house development
- System development for quantitatively evaluating the dizziness that feels in experiencing VR device
- We developed the content for VR device only that can adjust the load condition. In addition, it was developed that VR device that reproduces this content is moved by multi-joint robot and as a structure that can shoot the playback screen with a high-speed camera.
- Development of methodology that can measure rotation error, reaction delay time, and screen refresh rate based on shooting result
02. Pet Care Robot
LG Electronics
- Development of entertainment robot which can interact with companion animal and do remote driving
- Development of function that can receive the image from remote place via App and control the robot as well as go to companion animal itself and play with it based on the self-driving algorithm
03. Smart Home UX
LG Electronics
- Development of TV UI and communication technology that can be interacted with IoT devices at home based on smart TV
- Development of technology that TV UI based on Unity3D and Beacon can be in conjunction with IoT devices
04. Recognition Rate Optimization for Deep Learning-based Display Gesture
KETI -Korea Electronics Technology Institute
- Development of tool that can recognize gesture by learning data created from flexible sensor which can monitor movement of hand
- Learning-based recognition rate optimization algorithm built-in in order to recognize the intended gesture only
05. Parameter Optimization for Deep Learning-based Braking System
Hyundai Autron
- Development of parameter optimization tool for automobile braking system based on AMDEAS algorithm
- Development of system that is capable of continuous learning enhancement through conjunction with Carsim simulator
06. Performance Evaluation System for Smartphone’s Force Touch
LG Electronics
- Development of multi-joint robot based automation test system to measure recognition performance of smartphone’s Force Touch
- Technology built-in that can press screen with error rate of 1gf from 50 to 1,000gf section
07. Quality Evaluation System for Automobile Infotainment Display
LG Electronics
- Development of system that can measure the recognition accuracy of Infotainment device as well as implement various touch gestures and air gestures (hovering) with multi-joint robot
- Automation implementation of complicated gestures such as zooming and approaching
