This thesis project aims to develop an active Radio Frequency Identification tag (RFID) which uses an interesting method for positioning and ID detection. In this project, rather than classical ways of positioning methods such as triangulation or radio maps, infrared light and a camera with an infrared filter was used for the positioning. Tag identification detection is done by applying image analysis on camera images. When a specific part is wanted from the warehouse, this part is addressed through the active RFID system and the tag attached to that part starts to blink with the tag ID. A camera with an infrared filter above the goods in the ceiling finds the blinking infrared led, detects the tag’s position by image analysis, and confirms the ID with the requested ID number. A led transmitting visual light is used to ensure the tag also can be seen by the forklift driver in the warehouse environment when he is in close range of the part. First of all, related work and scientific papers were examined mostly from the IEEE database, which was instrumental in constructing this thesis project. Under the circumstances of low power consumption and the demands from the tag, additional possible components for an RFID tag such as an infrared led, a visual led, transistors for the LED amplifier stage and an LDO (Low-dropout) voltage regulator are chosen. Necessary technical calculations such as gain, power consumption are calculated. The RFID tag is built with these components, and transferred into the software environment .First the schematic is drawn and footprints created for the each component and the case styles are decided for transferring the circuit into the layout environment. For the radio circuit part which is used for the communication between the server and the tag, transmission lines of PCB demands are examined and the necessary calculations are made for impedance matching to prevent any disorder. After preparation of the PCB, gerber files are sent for the manufacturing process and the hardware part is completed. The components are mounted and the LED’s blinking time interval is set depending on the camera’s applicable frame speed, relevant tests for the ID detection and positioning (see fig.1). With optimisation of the time interval for recognition of the ID, an algorithm for the positioning of the RFID tag is developed and the related ID detection algorithm is developed for the real time applications by using a camera. As a result of this thesis project, instead of using complex systems for the positioning, such as triangulation or creating a radio map with multiple readers etc. a basic solution is produced as an alternative. The efficiency of the system, the distance that allows the positioning and how applicable the system is are examined.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-19016 |
| Date | January 2012 |
| Creators | Gülerman, Ender |
| Publisher | Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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