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Phasuwut

Full Stack · AI Engineer · Thailand

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© 2026 Phasuwut Chunnapiya

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Electric Vehicle Charger Socket Detection

Developed machine learning models to detect EV charger socket types in Thailand. This project demonstrates practical execution from architecture and implementation to measurable delivery outcomes.

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Master Degree ProjectsYear 2024

Project Overview

Objective

Developed machine learning models to detect EV charger socket types in Thailand.

Stack

PythonPyTorchYOLOv5YOLOv6YOLOv7YOLOv8OpenCVAlbumentationsNumPy

Delivery highlights

  • Developed computer vision models to detect and classify multiple types of electric vehicle charger sockets using Python, PyTorch, YOLOv5–YOLOv8, OpenCV, Albumentations, and NumPy, enabling automated identification of charging connector types from images.
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Related Projects

3 items

Electric Vehicle Charger Socket Detection Web Application

Master Degree ProjectsYear: 2024

Built a web application to run EV socket detection and visualize output.

Small-Object Focused Augmentation for Electric Vehicle Charger Socket Detection and Tracking

Personal ProjectsYear: 2026

Built upon the previous Semi-Supervised Video Object Segmentation for Electric Vehicle Charger Socket Tracking project by applying small-object-focused data augmentation to address missed detections when charger sockets appeared smaller or farther from the camera. This improved the model’s ability to detect small and hard-to-detect sockets while reducing missed detections in real-world scenarios.

Electric Vehicle Charger Socket Detection (React Native + Expo, ONNX)

Personal ProjectsYear: 2025

Built mobile app for EV socket detection from camera and gallery images.