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Smart Controlled Unmanned Water Vehicle for Human Detection — Thesis Design project by YenkoDev

Smart Controlled Unmanned Water Vehicle for Human Detection

Software as a Service

No

Category

Thesis Design

Clients

Mapua University

Techstack

PythonYOLOv4OpenCVRaspberry PiFlask

Purpose

Develop an unmanned water vehicle that automatically detects people in aquatic environments and reports their location, supporting search-and-rescue and water-safety scenarios where sending a human operator is slow or unsafe.

Description

A Raspberry Pi on board the vehicle runs YOLOv4 object detection against a live camera feed, with capture and inference split across threads to keep frame rates usable on embedded hardware. When a person is detected, a GPS module and SIM800L cellular modem send location alerts by SMS and email, while a Flask web interface streams the annotated video and logs each detection with processing times to CSV.

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