Efficient Object Identification with Passive RFID Tags
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Scalable object-tracking through unattended techniques (SCOUT)
ICNP '00 Proceedings of the 2000 International Conference on Network Protocols
RFID: A Technical Overview and Its Application to the Enterprise
IT Professional
MAX: human-centric search of the physical world
Proceedings of the 3rd international conference on Embedded networked sensor systems
RFID middleware design: addressing application requirements and RFID constraints
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 08
Fast and reliable estimation schemes in RFID systems
Proceedings of the 12th annual international conference on Mobile computing and networking
Reliability Techniques for RFID-Based Object Tracking Applications
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Experimental studying measurement metrics of RFID system performance
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
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RFID technology is now widely used to identify, locate, track and monitor physical objects. However, the use of RFID technology in modern manufacturing has been limited because of the unreliability of RFID devices. In addition to this, where it is used, the technology is mostly deployed to be a substitute for manual inventory management. In this paper we present the Smart Factory, a modern factory infrastructure capable of monitoring each and every product part that moves across the factory during the entire production process. In order to overcome the reliability issues in RFID devices, we have built up a probabilistic model to assign probabilities to the RFID readers and to the product part detections. We also present a probability self-calibration algorithm that automatically adapts the probabilities of RFID readers to better reflect their performance at current instance of time.