Development of a Microprocessor Based Smart and Safety Blind Glass System

Islam, Md. Tobibul; Ahmad, Mohiuddin; Bappy, Akash Shingha

doi:10.1109/ic4me247184.2019.9036504

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…It exploits semantic segmentation technology to help visually impaired perceive traversable areas, stairs, etc. Similarly, some crosswalk guidance systems [5][6][7][8][9][15] [29] which consist of crosswalk detection and PTL status discrimination are presented to tackle the challenge of crossing the roads.…”

Section: A Blind Navigationmentioning

confidence: 99%

“…Differently, the vision sensor based systems use computer vision techniques to recognize the obstacles and thus provide more precise obstacle information to the users. Crosswalk guidance systems [5] [15] [29] which consist of crosswalk detection and pedestrian traffic light status discrimination are presented to tackle the challenge of road crossing. These systems apply computer vision algorithms to provide more precise navigation information by crosswalk detection and traffic light detection.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Crosswalk Scene Understanding for the Visually Impaired

Tian

Zheng

Zou

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Independent mobility poses a great challenge to the visually impaired individuals. This paper proposes a novel system to understand dynamic crosswalk scenes, which detects the key objects, such as crosswalk, vehicle, and pedestrian, and identifies pedestrian traffic light status. The indication of where and when to cross the road is provided to the visually impaired based on the crosswalk scene understanding. Our proposed system is implemented on a head-mounted mobile device (Sensin-gAI G1) equipped with an Intel RealSense camera and a cellphone, and provides surrounding scene information to visually impaired individuals through audio signal. To validate the performance of the proposed system, we propose a crosswalk scene understanding dataset which contains three sub-datasets: a pedestrian traffic light dataset with 7447 images, a dataset of key objects on the crossroad with 1006 images and a crosswalk dataset with 3336 images. Extensive experiments demonstrated that the proposed system was robust and outperformed the state-of-the-art approaches. The experiment conducted with the visually impaired subjects shows that the system is practical useful.

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Section: A Blind Navigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Crosswalk Scene Understanding for the Visually Impaired

Tian

Zheng

Zou

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…The Automatic Driver's Drowsiness Alert System is a modern-day solution to prevent road accidents caused by driver fatigue. It is a sophisticated system that utilizes a PIC microcontroller, a heart rate sensor, and a GSM module to detect the early signs of drowsiness in drivers [3]. The idea of developing a drowsiness alert system for drivers was first introduced in the late 1990s.…”

Section: Introductionmentioning

confidence: 99%

An Automatic Driver’s Drowsiness Alert System

Rokade

2023

IJRASET

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The Automatic Driver's Drowsiness Alert System (ADDAS) using a PIC microcontroller is a technological solution that aims to prevent accidents caused by drowsy driving. This system uses a combination of sensors and algorithms to detect the driver's level of alertness and sends a warning when the driver is experiencing drowsiness or fatigue. The system is based on a PIC microcontroller that processes the data obtained from the sensors, which include an eyeblink sensor, a temperature sensor, a Heartbeat sensor, GSM (Global System for Mobile Communication) module and GPS (Global Positioning System). The eyeblink sensor monitors the driver's eye movements, the temperature sensor measures the driver's temperature, heartbeat sensor measures the pulse rate of driver, alcohol sensor measures alcohol intake of driver. The data is processed using an algorithm that analyses the driver's behaviour and physiological parameters to determine the level of alertness. If the driver is found to be drowsy or fatigued, the system sends a warning to alert the driver, such as an audible alarm. This system is efficient, reliable, and cost-effective, making it an ideal solution for preventing accidents caused by drowsy driving. It promotes safer roads and reduces the risk of fatalities, making it an essential tool for enhancing driver safety

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“…We can sketch a car anti-theft gadget primarily based on global system for mobile communications (GSM) and GPS modules. The device is developed based totally on the high velocity of a one-chip C8051F120 and became aware of the vehicle [21] stolen to the car owned by using the vibration sensor. The caring role can be completed through the GPS gadget connected to the anti-theft system.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of smart guided glass for visually impaired people

Islam

Rashid

Ahmad

et al. 2022

IJECE

Self Cite

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<span>The objective of this paper is to develop an innovative microprocessor-based sensible glass for those who are square measure visually impaired. Among all existing devices in the market, one can help blind people by giving a buzzer sound when detecting an object. There are no devices that can provide object, hole, and barrier information associated with distance, family member, and safety information in a single device. Our proposed guiding glass provides all that necessary information to the blind person’s ears as audio instructions. The proposed system relies on Raspberry pi three model B, Pi camera, and NEO-6M global positioning system (GPS) module. We use TensorFlow and faster region-based convolutional neural network (R-CNN) approach for detection of objects and recognition of family members of the blind man. This system provides voice information through headphones to the ears of the blind person, and facile the blind individual to gain independence and freedom within the indoor and outdoor atmosphere.</span>

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Development of a Microprocessor Based Smart and Safety Blind Glass System

Cited by 4 publications

References 6 publications

Dynamic Crosswalk Scene Understanding for the Visually Impaired

Dynamic Crosswalk Scene Understanding for the Visually Impaired

An Automatic Driver’s Drowsiness Alert System

Design and implementation of smart guided glass for visually impaired people

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