Unit 10 Automatic Identification 10.1 Unit Introduction 10.2 Unit Objectives 10.3 Overview of Automatic Identification Methods 10.4 Barcode Technology 10.5 Two-Dimensional Bar Codes 10.6 Radio Frequency Identification 10.7 Other AIDC Technologies 10.8 Case Study 10.9 Unit Review 10.10 Self Assessment 10.11 Self Assessment Answers 10.1 Unit Introduction Automatic identification and data capture (AIDC) is the use of technology to provide direct data entry to a computer, or other micro-processor controlled system, without resorting to manual methods of data-entry. Data collection and retention has increasingly been automated to the point where AIDC systems can operate without relying upon human operators for basic data identification and capture. The following applications are regularly operated in AIDC mode: material handling, storage, sorting, order picking, kitting of parts for assembly; monitoring work order status, work-in-process, machine utilisation, worker attendance, and other measures of factory operation and performance. KEYPOINT Automatic identification and data capture (AIDC) is the use of technology to provide direct data entry to a computer. END KEYPOINT The alternative to AIDC is manual data collection and retention; this suffers from higher rates of error, greater requirements on time, and higher labour costs than AIDC. This unit investigates AIDC with a primary emphasis on bar code technology and radio frequency identification (RFID). Other AIDC technologies, including magnetic stripes, optical character recognition, and machine vision 10.2 Unit Learning Objectives After completing this unit you will be able to: BULLET LIST Identify the concept of Automatic Identification and Data Capture Specify the types of barcode technology that can be identified Name the major barcode standard that informs the use of barcodes made by most of contemporary industry Outline the two basic types of two-dimensional barcodes List advantages of Radio Frequency Identifi