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The document describes a Digital Sign System (DSS) for indoor wayfinding assistance for visually impaired individuals. The system uses passive retroreflective tags that are detected by a handheld "Magic Flashlight" device with a camera. Machine vision software identifies the tags and an Indoor Guidance System provides navigation information to the user via synthetic speech. The system was tested across various conditions and further optimization of the tag identification and evaluation of the search mode is still needed.

Digital Sign System for Indoor Wayfinding for the Visually Impaired

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Introduction ,[object Object],[object Object],[object Object],[object Object]

Several technologies for indoor wayfinding ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Digital Sign System (DSS) ,[object Object],[object Object],[object Object]

Passive retro-reflective tags (I) ,[object Object],[object Object]

A hand-held sensor module dubbed the “Magic Flashlight (MF)” (I) ,[object Object],[object Object]

A hand-held sensor module dubbed the “Magic Flashlight (MF)” (II)

The machine-vision software that identifies the tags ,[object Object],[object Object],[object Object],[object Object]

Indoor Guidance System (IGS) ,[object Object],[object Object],[object Object]

A building database ,[object Object],[object Object],[object Object],[object Object]

User Interface – List based Navigation ,[object Object],[object Object]

Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Successful test in a wide range of conditions

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rring of useable data, for example a sensor in a room to monitor and control the temperature. It is estimated that by 2020 there will be about 50 billion internet-enabled devices. The Internet of things presently is being used in the fields of automobiles, agriculture, security surveillance, building management, smart-homes, and health care. The IOT expects to use low-cost computing devices where there is less energy consumption impact to the environment[1]. and limited This paper aims to describe a way for giving security to IT companies, scouting units, business organizations and volunteer groups. Among the person identification methods, face recognition is known to be the most natural ones, since the face modality is the modality that uses to identify people in everyday lives. This face detection differentiates faces from non-faces and is therefore essential for accurate security. The other strategy involves face recognition for marking the employees. The Raspberry pi module is used for face detection & recognition. The camera will be connected to the Raspberry pi module. The employees database is collected. The database includes name of the employees, there images & ID number[2]. This RFID reader module will be installed at the front side of organizations in such a way that all employees provided by the RFID cards. Raspberry pi system have the database of the employees so comparing the database if employees details are matched employ can entered into company. Thus with the help of this system, time will be saved and it is so convenient to record employees. And the details of the employees will be sent to the corresponding head of organization using IOT technology

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1. Digital Sign System for Indoor Wayfinding for the Visually Impaired

8. Passive retro-reflective tags (II)

10. A hand-held sensor module dubbed the “Magic Flashlight (MF)” (II)

11.

12. The Search Mode

13. Tag Identification (I)

14. Tag Identification (II)

15.

16.

17. RDBMS

18.

19.

20. Successful test in a wide range of conditions

21. Summary

22. Thank you

071029

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