Highlystar Electronics

Highly Star Electronics is a specialist manufacturer of display technologies including TFT, graphic LCD, COG, and OLED displays. Contact Ineltek UK for more details.

Product Range

Displays

Graphic Modules

LCD Display (TFT)

OLED Displays / Modules

VATN LCD

Heading 2

Automotive Qualified

Image of high tech automotive wire frame to demonstrate Ineltek's Automotive Component Manufacturers and their Applications

Power, Timing and Passives

Image of various electronic signals to demonstrate Ineltek's Power Passive and Timing Component capabilities

Displays, Accessories and Optoelectronics

Image of a close up of LED screen to demonstrate Ineltek's Displays and Accessories capabilities

Semiconductor

Memory

Solutions & Services

Image of a close up of an ASIC design to depict Ineltek's solutions and services capability

Tech Docs

To view technical docs or find out more about

Highlystar Electronics

Isolated Current Sensing in Motor Drives: Accuracy Meets Cost Efficiency

To find out more...

Introduction: Why Isolated Current Sensing Matters in Modern Motor Drives The modern motor drive presents a fundamental challenge: how do you accurately measure phase current for commutation and protection without introducing ground loops that corrupt your measurement? This problem intensifies in three-phase inverters where high voltage switching creates electromagnetic noise that conventional current sensing cannot tolerate. Traditional approaches—using opto-isolated current measurement or...

Nuvoton M55M1: Endpoint AI MCU for Intelligent Edge Devices

To find out more...

Introduction: What is Endpoint AI and Why Does It Matter? Artificial intelligence has long been synonymous with cloud computing—vast data centres processing enormous datasets to train and deploy machine learning models. However, a paradigm shift is underway. Engineers designing next-generation IoT devices, industrial controllers, and smart home systems are increasingly adopting endpoint AI : the ability to run machine learning inference directly on edge devices, without reliance on cloud...