Visual impairment affects the ability of people to live a life like normal people. Such people face challenges in performing activities of daily living, such as reading, writing, traveling and participating in social gatherings. Many traditional approaches are available to help visually impaired people; however, these are limited in obtaining contextually rich environmental information necessary for independent living. In order to overcome this limitation, this paper introduces a novel wearable vision assistance system that has a hat-mounted camera connected to a Raspberry Pi 4 Model B (8GB RAM) with artificial intelligence (AI) technology to deliver real-time feedback to a user through a sound beep mechanism. The key features of this system include a user-friendly procedure for the recognition of new people or objects through a one-click process that allows users to add data on new individuals and objects for later detection, enhancing the accuracy of the recognition over time. The system provides detailed descriptions of objects in the user's environment using a large vision language model (LVLM). In addition, it incorporates a distance sensor that activates a beeping sound using a buzzer as soon as the user is about to collide with an object, helping to ensure safety while navigating their environment. A comprehensive evaluation is carried out to evaluate the proposed AI-based solution against traditional support techniques. Comparative analysis shows that the proposed solution with its innovative combination of hardware and AI (including LVLMs with IoT), is a significant advancement in assistive technology that aims to solve the major issues faced by the community of visually impaired people
At Sensory Guru, innovation means creating powerful, accessible technology for people with complex disabilities.
In this short video, we share the story behind Sensory Eye FX — how it began with a deep understanding of attention as a form of interaction, and evolved into a system that empowers users of all abilities.
From our early development of eye tracking software in 2010 to the launch of Sensory Eye FX, our focus has always been clear: ✅ Make interaction possible for everyone ✅ Deliver meaningful cause-and-effect experiences ✅ Improve engagement and quality of life
We believe that students once considered the most profoundly challenged can thrive with the right tools — and we’re proud to be part of that journey.
This article will explore the most impactful technologies helping seniors today, the innovations making aging at home more manageable, the challenges of adoption, and what the future may hold for all of us.
Why is braille still undervalued in 2025? In this powerful conversation, Steven Scott welcomes accessibility leader Dave Williams to discuss his journey from RNIB to DOT, a company creating a new type of braille tech, and the cultural barriers still holding blind people back. From leadership gaps to breakthrough devices like the Dot Pad X, this episode offers deep insights into blind empowerment, inclusive design, and the state of accessible technology today. Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited.
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Despite delays and limited outreach, Bulgaria’s EU-funded assistive technology programme offers life-changing support to people with disabilities. NGOs are calling for broader access and long-term sustainability.
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WHO/Europe has introduced a new data dashboard, providing streamlined access to information and evidence related to assistive technology policies and services.
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![[2412.20059] AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models | Access and Inclusion Through Technology | Scoop.it](https://img.scoop.it/R3Nf-aV-zFCPDr3s1jV_-zl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
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