Detection of immovable objects on visually impaired people walking aids

Abdurrasyid, Abdurrasyid; Indrianto, Indrianto; Arianto, Rakhmat

doi:10.12928/telkomnika.v17i2.9933

Cited by 13 publications

(16 citation statements)

References 19 publications

(21 reference statements)

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“…Tool schema and data delivery Third, hardware designs. At this stage, the hardware needed are Arduino Uno, ES8266 module, temperature sensor (DS16B20), pH sensor, ultrasonic sensor, 4 channel relay, breadboard, water pump, Heater, the use of ultrasonic sensors which are commonly used to measure distances and Arduino as a data processor, where it was also used to help the blind in walking [13]. The design of the device starts with making a diagram block like Figure 2.…”

Section: Methodsmentioning

confidence: 99%

“…Embedded system becomes an inseparable part of IoT, embedded systems can be enjoyed either by normal humans or who have deficiencies such as visual ability [13], for that embedded system knowledge must be an inseparable part in the activities of education in higher education [14], there have been many studies conducted by researchers in the field of IoT both in the field of Education, smart taxi in smart city [15], smart traffic lights that can help to reduce vehicles congestion on traffic lights [16]. In accordance with that matter, the researchers have used IoT in the field of agriculture and aquaculture.…”

Section: Introductionmentioning

confidence: 99%

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Detection of water quality in crayfish ponds with IoT

et al. 2021

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Data from the Central Bureau of Statistics shows that during the first quarter of 2014 to 2019, the tendency of Indonesian crayfish export increases by an average of 3.54% in 2019 and reach 7.09 million USD. This number still fails to meet the global market demand caused by poor water quality due to cultivators’ lack of experience and education. Two parameters measured in water quality are temperature and pH. Thus, a device was made using IoT to maintain those conditions in order to increase the viability of the crayfish in the pond. The perceptron method is used to classify water quality based on those parameters. To send the data, ESP8266 is used as an intermediary for Arduino and cloud server. The result is that the information about the ponds’ condition can be seen via a smartphone. The method gives a value of 98.06% accurate in determining water quality.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection of water quality in crayfish ponds with IoT

et al. 2021

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“…presented a wearable device that can sense obstacle and recognize the object using template matching method [9]. Rajalakshmi et al proposed the same technology but implemented object recognition with a convolution neural network [10].…”

Section: Introductionmentioning

confidence: 99%

Visual, navigation and communication aid for visually impaired person

Saha

Shakal

Mahmood

2021

IJECE

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The loss of vision restrained the visually impaired people from performing their daily task. This issue has impeded their free-movement and turned them into dependent a person. People in this sector did not face technologies revamping their situations. With the advent of computer vision, artificial intelligence, the situation improved to a great extent. The propounded design is an implementation of a wearable device which is capable of performing a lot of features. It is employed to provide visual instinct by recognizing objects, identifying the face of choices. The device runs a pre-trained model to classify common objects from household items to automobiles items. Optical character recognition and Google translate were executed to read any text from image and convert speech of the user to text respectively. Besides, the user can search for an interesting topic by the command in the form of speech. Additionally, ultrasonic sensors were kept fixed at three positions to sense the obstacle during navigation. The display attached help in communication with deaf person and GPS and GSM module aid in tracing the user. All these features run by voice commands which are passed through the microphone of any earphone. The visual input is received through the camera and the computation task is processed in the raspberry pi board. However, the device seemed to be effective during the test and validation.

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“…Various methods are currently in development to automatically extract the region surrounding a character when that character is detected to be in the presence of a visually impaired person [1][2][3][4][5]. The method consists of mainly first recognizing the character string in its region and then sending the scanned information back to the user.…”

Section: Introductionmentioning

confidence: 99%

Application on character recognition system on road sign for visually impaired: case study approach and future

Kim¹

2020

IJECE

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Many visually impaired people worldwide are unable to travel safely and autonomously because they are physically unable to perceive effective visual information during their daily lives. In this research, we study how to extract the character information of the road sign and transmit it to the visually impaired effectively, so they can understand easier. Experimental method is to apply the Maximally Stable External Region and Stroke Width Transform method in Phase I so that the visually impaired person can recognize the letters on the road signs. It is to convey text information to the disabled. The result of Phase I using samples of simple road signs was to extract the sign information after dividing the exact character area, but the accuracy was not good for the Hangul (Korean characters) information. The initial experimental results in the Phase II succeeded in transmitting the text information on Phase I to the visually impaired. In the future, it will be required to develop a wearable character recognition system that can be attached to the visually impaired. In order to perform this task, we need to develop and verify a miniaturized and wearable character recognition system. In this paper, we examined the method of recognizing road sign characters on the road and presented a possibility that may be applicable to our final development.

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Detection of immovable objects on visually impaired people walking aids

Cited by 13 publications

References 19 publications

Detection of water quality in crayfish ponds with IoT

Detection of water quality in crayfish ponds with IoT

Visual, navigation and communication aid for visually impaired person

Application on character recognition system on road sign for visually impaired: case study approach and future

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