Sökning: "Raspberry Pi V2 camera"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Raspberry Pi V2 camera.
1. ROS-based implementation of a model car with a LiDAR and camera setup
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. LÄS MER
2. MISK-Moves
Kandidat-uppsats, Lunds universitet/Certec - Rehabiliteringsteknik och DesignSammanfattning : Move-to-play is a musical instrument for persons with both cognitive and physical impairments, who would have trouble playing traditional instruments. Everyone, no matter their abilities, are given the chance to play and control music by moving their own body. LÄS MER
3. High-speed Image Capture and Cone Detection Using a Raspberry Pi and Camera Module: A Design Science Approach
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The purpose of this paper is to provide a highspeed image capturing and cone detection algorithm using lowcost devices, such as a Raspberry Pi and Pi NoIR V2 camera module. Little research focuses on high-speed, low-cost image processing. LÄS MER
4. Face recognition and speech recognition for access control
M1-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : This project is a collaboration with the company JayWay in Halmstad. In order to enter theoffice today, a tag-key is needed for the employees and a doorbell for the guests. If someonerings the doorbell, someone on the inside has to open the door manually which is consideredas a disturbance during work time. LÄS MER
5. Lågkostnadssystem för automatiserad NDVI analys av växter
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Detta arbete utvärderar ett kamerasystem som kan ta bilder för analys av växters välmående. Kamerasystemet bygger på en Raspberry pi model 3 b+, en PInoIR kamera modul v2 och ett blått filter. Kameran kan övervaka växter genom att den inte har något infrarött filter. LÄS MER