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Integracija kamere Raspberry Pi v sistem EPICS
ID
SOKLIČ, DOMEN
(
Author
),
ID
Rozman, Robert
(
Mentor
)
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MD5: 1F438AB0E1C7121F576B8D7C4518D27B
PID:
20.500.12556/rul/c43efdef-dc92-4b76-bf13-c3da37ec6eaf
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Abstract
Cilj diplomske naloge je izdelati sistem za zajem slike z Raspberry Pi kamero z uporabo sistema EPICS. EPICS je sistem, ki poenostavi postavitev in upravljanje kontrolnih sistemov. V tem diplomskem delu smo razvili programski gonilnik, ki služi kot posrednik med obstoječo nizko-nivojsko knjižnico (API) za upravljanje kamere in sistemom EPICS. S tem se je skrajšal čas integracije, ki je potreben za vključitev računalnika Raspberry Pi v kontrolnih sistemih pospeševalnikov delcev, v industriji ali drugih okoljih, kjer se uporablja EPICS. Poleg tega smo razvili spletni uporabniški vmesnik, na katerem se prikazuje slika in se lahko spreminja nastavitve kamere. Razvit spletni vmesnik omogoča uporabniku nadzor nad vsemi nastavitvami kamere, ki jih podpira API.
Language:
Slovenian
Keywords:
raspberry pi
,
epics
,
kamera
,
areaDetector
,
flask
,
angularjs
Work type:
Bachelor thesis/paper
Organization:
FRI - Faculty of Computer and Information Science
Year:
2017
PID:
20.500.12556/RUL-91019
Publication date in RUL:
09.03.2017
Views:
1391
Downloads:
372
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Language:
English
Title:
Integration of the Raspberry Pi Camera into EPICS
Abstract:
The aim of this work was to create a system that can capture images with the use of EPICS. EPICS is a system that simplifies the creation of control systems and provides an easy way to operate them. We developed a driver that acts as an intermediary between the low level camera library (API) and EPICS. This work has shortened the integration time for systems that wish to use the Raspberry Pi in particle accelerators, industrial applications or other environments that use EPICS. We have also developed a web graphical interface which can display the captured picture and allows the user to change the settings of the camera that are supported by the API.
Keywords:
raspberry pi
,
epics
,
camera
,
areaDetector
,
flask
,
angularjs
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