Skip to content
YenkoDev Logo
contact@yenkodev.com
Worms and Eggs Detection Using YOLOv7 — Thesis Design project by YenkoDev

Worms and Eggs Detection Using YOLOv7

Software as a Service

No

Category

Thesis Design

Clients

Southern Luzon State University

Techstack

PythonYOLOv7OpenCV

Purpose

Built for Southern Luzon State University: a machine learning model that automatically detects worms and eggs in images, replacing slow manual inspection with consistent, automated identification and counting.

Description

A YOLOv7 object detection model was trained to locate and classify worms and eggs in captured images. The dataset was annotated and managed through Roboflow, then used to train the network for reliable detection across varied samples. The resulting model draws labeled bounding boxes around each detected object, giving researchers an automated way to identify and monitor specimens for agricultural and diagnostic analysis.

Start a project like this →← All projects

//More Thesis Design

Automated PWD Parking Assistance System — Thesis Design project by YenkoDev
Thesis Design

Automated PWD Parking Assistance System

Automated Disinfectant Misting System — Thesis Design project by YenkoDev
Thesis Design

Automated Disinfectant Misting System

Network-Based Fingerprint Access Android Application Using Socket Communication — Thesis Design project by YenkoDev
Thesis Design

Network-Based Fingerprint Access Android Application Using Socket Communication

Quail Egg Detection and Classification Through Egg Candling and Image Processing — Thesis Design project by YenkoDev
Thesis Design

Quail Egg Detection and Classification Through Egg Candling and Image Processing

Visual Parameters Testing System: Acuity, Contrast Sensitivity, and Color Vision — Thesis Design project by YenkoDev
Thesis Design

Visual Parameters Testing System: Acuity, Contrast Sensitivity, and Color Vision