Result: PRIMJENA ARDUINO I RASPBERRY PI PLATFORMI U RAZVOJU UGRADBENIH RAČUNALNIH SUSTAVA ; APPLICATION OF ARDUINO AND RASPBERRY PI PLATFORMS IN THE DEVELOPMENT OF EMBEDDED COMPUTER SYSTEMS

Title:
PRIMJENA ARDUINO I RASPBERRY PI PLATFORMI U RAZVOJU UGRADBENIH RAČUNALNIH SUSTAVA ; APPLICATION OF ARDUINO AND RASPBERRY PI PLATFORMS IN THE DEVELOPMENT OF EMBEDDED COMPUTER SYSTEMS
Authors:
Contributors:
Čoko, Duje
Publisher Information:
Sveučilište u Splitu. Fakultet elektrotehnike, strojarstva i brodogradnje.
University of Split. Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture.
Publication Year:
2024
Collection:
Croatian Digital Theses Repository (National and University Library in Zagreb)
Document Type:
Dissertation/ Thesis bachelor thesis
File Description:
application/pdf
Language:
Croatian
Rights:
http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/restrictedAccess
Accession Number:
edsbas.E314BE12
Database:
BASE

Further Information

Projekt tragajućeg robota upravljanog putem Raspberry Pi 4 i skrivajućeg robota upravljanog putem Arduino Uno mikrokontrolera uspješno je realiziran. Proučena su svojstva i mogućnosti Raspberry Pi računala, s naglaskom na njegovu ulogu u sustavima za obradu slika. Implementirane su tehnologije umjetne inteligencije, računalnog vida i strojnog učenja, omogućujući preciznu detekciju i praćenje. Tragački robot koristi kameru za praćenje skrivajućeg robota, koji se kreće po crnoj liniji. Raspberry Pi omogućuje obradu slike u stvarnom vremenu i donošenje odluka temeljenih na vizualnim informacijama, dok Arduino Uno upravlja kretanjem skrivajućeg robota. Komunikacija između robota putem Wi-Fi/HTTP protokola osigurava uspješnu interakciju i koordinaciju. Node-RED nadzorna ploča prati aktivnosti projekta u stvarnom vremenu i ažurira podatke. Usprkos izazovima s programiranjem kamere na Raspberry Pi i uspostavljanjem stabilne komunikacije, projekt je uspješno završen, što dokazuju priložene slike ključnih trenutaka i funkcionalnosti sustava. ; The project involving a seeking robot controlled by Raspberry Pi 4 and a hiding robot controlled by Arduino Uno microcontroller was successfully completed. The properties and capabilities of the Raspberry Pi computer were studied, with an emphasis on its role in image processing systems. Implemented technologies included artificial intelligence, computer vision, and machine learning, enabling precise detection and tracking. The seeking robot uses a camera to track the hiding robot moving along a black line. Raspberry Pi facilitates real-time image processing and decision-making based on visual information, while Arduino Uno controls the hiding robot's movement. Communication between the robots via Wi-Fi/HTTP protocol ensures successful interaction and coordination. The Node-RED dashboard monitors project activities in real-time and updates data. Despite challenges with programming the camera on Raspberry Pi and establishing stable communication, the project was successfully ...