Research

  • 홈아이콘홈아이콘
  • Research
  • Research Areas

Research Areas

ISSL pioneers new possibilities in intelligent vision sensor systems
through end-to-end design that connects sensors to complete systems.

INTELLIGENT VISION SYSTEM

Research area 01

Front-End Circuit
Design

Research area 02

Back-End Circuit
Design

Research area 03

Embedded
System

Research area 01

Front-End Circuit Design

Our laboratory specializes in wafer and chip-level integrated-circuit (IC) design for 1D, 2D, and 3D imaging systems, and we continually advance the core technologies that enable them.

Based on a precise analysis of sensor input signal characteristics, we execute the design of optimized readout circuits, system configuration circuits, and high-performance Intellectual Properties (IPs).

The ultimate goal is to realize image sensors with superior, application-specific performance by resolving key technical challenges such as operating speed, image quality, and noise.

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Research area 02

Back-End Circuit Design

Our laboratory uses advanced 3D electromagnetic simulation techniques to design and optimize high-performance circuits at the packaging level.

Through EMI, EMC, and SI/PI analysis, we ensure electrical reliability and high-frequency performance.

We develop sensor fusion system modules that integrate high-speed signal transmission among sensors, ICs, communication interfaces, and CPUs with optimized power distribution networks.

We also design high-density redistribution layers (Redistribution Layer, RDL), a key element of next-generation semiconductor packaging, enabling high-speed and high-density systems in chiplet and fan-out structures without signal degradation.

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Research area 03

Embedded System

Our laboratory aims to realize high-efficiency edge computing systems by fusing sensor technologies with deep learning models. Our core research methodology is the co-optimization of hardware and software.

The research primarily involves integrating state-of-the-art AI models such as CNNs, RNNs, and Transformers with application-specific hardware, including FPGAs and ASICs. This approach is designed to maximize real-time processing performance while minimizing power consumption.

Building upon this technological foundation, the laboratory develops advanced vision technologies and intelligent embedded systems engineered to ensure robust performance across diverse operating environments.

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