On the Design of Approximate Sobel Filter

Aoun, Alain; Masadeh, Mahmoud; Tahar, Sofiène

doi:10.1109/icm56065.2022.10005354

Cited by 2 publications

(2 citation statements)

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“…AC is applicable at the software level, e.g., loop perforation, and hardware level, e.g., inexact full adders [21]. Various errorresilient applications, such as machine learning, scientific computing, computer graphics and gaming, and multimedia processing, accept approximation results [22]. Such applications reply to processing big data that are sensorygenerated, do not have a unique or golden output, perform computing utilizing self-attenuation algorithms, and most of their results are consumed by human vision which tolerates errors [23].…”

Section: Approximate Computingmentioning

confidence: 99%

“…• Voice and Speech Recognition: Voice-based interfaces are critical for communicating with assistive devices. Speech recognition algorithms may be optimized using approximate computing approaches, which reduces the computational cost of processing audio input in real-time [22]. Techniques like eliminating less critical characteristics or utilizing simpler models can assist achieve quicker reaction times without significantly reducing accuracy.…”

Section: Approximate Computingmentioning

confidence: 99%

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Approximate Computing-based Assistive Shopping Trolley for Visually Challenged People

Masadeh,

Alkhdour,

AbuDiak

et al. 2024

IJCDS

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Sighting is one of the five senses that help us to live in this world. According to the World Health Organization (WHO), more than 2 billion people encounter vision challenges that inflict severe life problems. The visually challenged people must utilize their senses, i.e., touch, smell, taste, and sound, to perform their daily tasks. Visually challenged people suffer from visual impairment, either partial or total. Their therapy could be corrective eyeglasses, assistive devices, and medical treatment. In this work, we target an assistive device, i.e., we propose, design and implement an approximate computing-based smart shopping cart for visually challenged people. The proposed assistive shopping cart utilizes the Internet of Things (IoT), e.g., Radio Frequency Identification (RFID) sensors, an Infrared (IR) Sensor, and an Arduino microcontroller. The audio was employed during the shopping journey to notify the shopper of his current location in the mall, the name and price of each item he scans, and other information about the product that is written on the package. Combining many features in a single cart will result in a revolutionary device that might revolutionize the face of shopping for the visually impaired. The proposed cart improvements include obstacle detection, voice commands, and emergency assistance. The designed cart emphasizes the potential of technology to bridge barriers and empower people with disabilities, as well as the beneficial influence that inclusive solutions may have on overall quality of life.

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Section: Approximate Computingmentioning

confidence: 99%

Section: Approximate Computingmentioning

confidence: 99%