How Smartphone Touchscreens Detect Touch

Smartphone touch sensing overview: capacitive, resistive, surface acoustic wave, and optical methods; touch sensing principles and causes/remedies for touchscreen failure.

Biometric Identification for IoT Dog Management

Analysis of Chongqing dog registration and pet microchip policies, comparing low-frequency RFID and biometric methods for canine identification and traceability.

How License Plate Recognition Works

Overview of license plate recognition: image preprocessing, plate localization, character segmentation and recognition, and applications in traffic management.

Iris Recognition: Principles and System Overview

Technical article about electronics and hardware engineering.

Is Haptic Feedback Useful for Touchscreen Vibration

Analysis of Force Touch and refined haptic feedback: human perception, actuator options (ERM/LRA), and software integration for tactile interfaces and applications.

How Face Recognition Works and Its Pros and Cons

Overview of face recognition: detection, feature extraction, template matching and decision logic; discusses accuracy factors, privacy risks, bias, and deployment trade-offs.

Adding Capacitive Touch to Cooktops

Technical overview of capacitive touch for cooktops: CapTIvate implementation, design challenges, guard channels, assembly tolerances, false-touch prevention, and EMC.

What to Do When a Phone Touchscreen Fails in Winter

Practical troubleshooting for capacitive touchscreen unresponsiveness in cold conditions: causes, surface and software checks, and step-by-step fixes before repair.

Is an Unresponsive Touchscreen Caused by the Outer or Inner Screen?

Guide to diagnosing touchscreen failure and recovery: causes, impacts, troubleshooting steps (clean, restart, update) and when to seek professional repair.

Face Recognition: How It Works, Pros, Cons, Differences

Technical overview of face recognition: principles of feature extraction and matching, advantages and limitations, and key differences from image recognition.

Face Recognition Access Control: Functions and Benefits

Overview of face recognition access control systems: hardware, management platform, infrared imaging, centralized permissions, and deployment use cases.

Gesture-Based Interfaces Beyond Multi-Touch

Guide to electric-field sensing for touchless 3D gesture recognition using Microchip's MGC3030 (GestIC): sensor design, electrodes, and implementation tips.

Internal Structure of a Touchscreen

Technical overview of touchscreen hardware and internal structure, explaining analog signal path and data routing to enable PLC integration and setup with industrial drives.

How Touchscreens Detect Input: Principles and Applications

Explains how capacitive touchscreens detect touch by measuring changes in capacitance, outlines front-panel sensors, control circuitry, resistive/SAW types and common applications.

Tablet capacitive touchscreen: G+G vs G+P structure

Comparison of capacitive touchscreen types (G+G vs G+P): differences in hardness, optical transmittance, chemical resistance, touch feel, bonding reliability, and cost.

Five Common Misconceptions About Facial Recognition

Analysis of facial recognition risks, privacy and misuse: technical capabilities, data collection and storage vulnerabilities, and regulatory principles for biometric data governance.

Major Face Recognition Methods

Technical overview of regional feature methods in face recognition, comparing geometric features, PCA/eigenfaces, neural networks, elastic graph matching, LHD and SVM.

How Facial Recognition Works and Its Applications

Overview of facial recognition systems: technical workflow, regional feature analysis, deployment in access control, surveillance and attendance, and system characteristics.

11 Misconceptions About Face Recognition

Clarifies 11 misconceptions about face recognition in embedded systems, covering cost, hardware, security, privacy, power, training and MCU deployment.

CNN Classification of Large-Scale Wearable Motion Data

Evaluation of CNNs on wearable sensor time series for 50-class gym exercise classification, comparing 9x784, 3x784x3 and 84x84 inputs; best config reached 92.1% accuracy.