Low Cost Smart-Glass using ESP-32

Das, Swapan K; Saxena, Shubham; Rout, Nirmal Kumar

doi:10.1109/aespc52704.2021.9708478

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…The authors in [23] used the ESP32 module as a low‐cost and low‐power consumption IoT technology for human smart glasses. They used a compatible camera, accelerometer, and eye‐blink infrared sensor.…”

Section: Literature Reviewmentioning

confidence: 99%

A new low‐cost and low‐power industrial internet of things infrastructure for effective integration of distributed and isolated systems with smart grids

Sheba

Mansour

Abbasy

2023

IET Generation Trans & Dist

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Internet of Things (IoT) has recently become one of the fast‐growing technologies in the world. Integrating existing systems with smart grids still represents a significant challenge arising from the massive cost of upgrading the infrastructure. This paper provides an IoT infrastructure solution based on a newly designed low‐cost microcontroller‐based IoT remote terminal unit (RTU) to integrate new, old, and conventional sites of existing grids with smart grids. The IoT RTU supports Wi‐Fi communication and includes digital/analog inputs and outputs besides the advantage of serial data transmission standard RS‐485 as an industrial field communication (IFC). The Modbus communication protocol is utilized as a serial industrial protocol that can be interfaced over the RS‐485 standard. The advantage of having an IFC protocol integrated into the IoT infrastructure enables to link any supported device and publish the required data to the cloud, besides the ability to add smart metering technologies, which allows Advanced Metering Infrastructure (AMI) in these areas. IoT‐enabled Supervisory Control and Data Acquisition (SCADA) system is integrated with the proposed IoT infrastructure for its advantages of remote monitoring and control. The proposed IoT infrastructure is characterized by proper data security and low power consumption. The IoT infrastructure is simulated with an existing real application for proof of concept, and the results are discussed for different case studies.

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Section: Literature Reviewmentioning

confidence: 99%

A new low‐cost and low‐power industrial internet of things infrastructure for effective integration of distributed and isolated systems with smart grids

Sheba

Mansour

Abbasy

2023

IET Generation Trans & Dist

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“…The signal from the sensor is given to the Raspberry Pi which is then co related to the camera data to detect the obstacle. The camera then feeds the image to the trained neural network after preprocessing which will detect the type of obstacle in front of the blind person and return the results [10], [11]. The image data acts as an input data for determination of the type of obstacle in front of the blind person using sensor fusion when the obstacle is in the proximity [12], [13].…”

Section: Introductionmentioning

confidence: 99%

An innovative smart glass for blind people using artificial intelligence

Gollagi¹,

Bamane

Patil

et al. 2023

IJEECS

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<p>The "Smart Glasses" are made to make it easier for blind persons to read and decipher written English-language content. A blind people find it exceedingly challenging to travel alone, and they run the danger of getting lost and regular sticks won't allow the person to go around independently in public without things growing worse. The objective of our work is to help blind people communicate more easily by developing a smart assistive glasses using artificial intelligence. The function of the glasses is to read out any text picture as audio text, which can then be heard through a headset attached to the spectacles. OpenCV, optical character recognition and efficient and accurate scene text (EAST) detector were used to identify the text in the image; ultrasonic sensor in the glasses is used to calculate the distance to snap a clear picture. The motion sensor directs the blind to the lecture halls, classrooms, and laboratory locations using an radio frequency identification reader. The results shows that combination of optical character recognizer and EAST detector produced a fairly accurate result, demonstrating the potential of the glasses to recognize the text. Currently, the language supported by the glasses is English, and the distance covered is 40 to 150 cm.</p>

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IoT based Wearable Glasses for Visually Impaired Users

Boppana,

et al. 2023

2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

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Low Cost Smart-Glass using ESP-32

Cited by 5 publications

References 3 publications

A new low‐cost and low‐power industrial internet of things infrastructure for effective integration of distributed and isolated systems with smart grids

A new low‐cost and low‐power industrial internet of things infrastructure for effective integration of distributed and isolated systems with smart grids

An innovative smart glass for blind people using artificial intelligence

IoT based Wearable Glasses for Visually Impaired Users

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