Smart glasses with tactile feedback system

The wearable smart glasses system addresses the limitations of conventional smart glasses by integrating image acquisition, deep learning, augmented reality, and multimodal feedback to enhance situational awareness and navigation for visually impaired users.

DE202026101036U1Active Publication Date: 2026-05-07DR VISHWANATH KARAD MIT WORLD PEACE UNIV PUNE
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Patent Information

Authority / Receiving Office
DE · DE
Patent Type
Utility models
Current Assignee / Owner
DR VISHWANATH KARAD MIT WORLD PEACE UNIV PUNE
Filing Date
2026-02-24
Publication Date
2026-05-07

AI Technical Summary

Technical Problem

Conventional smart glasses systems provide limited accessibility and lack reliable multimodal feedback for visually impaired users in low-light, crowded, or dynamic environments, hindering effective situational awareness and independent navigation.

Method used

A wearable smart glasses system integrating image acquisition, deep learning models for image enhancement, augmented reality, IoT connectivity, and multimodal feedback through audio, haptic, and tactile outputs to enhance visual assistance.

Benefits of technology

Enables reliable contextual perception and independent navigation for visually impaired users by providing seamless integration of image recognition, augmented reality, and tactile feedback, ensuring consistent and ergonomic operation.

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Abstract

System (100) for wearable smart glasses that provides improved visual support to visually impaired users, wherein the system (100) comprises: a frame (102) wherein the frame (102) is configured to accommodate electronic components; an image acquisition unit (104), wherein the image acquisition unit (104) is designed to be able to capture visual data in real time under low light conditions and daylight; a processing unit (106) wherein the processing unit (106) is functionally coupled to the image acquisition unit and is configured to execute deep learning models for image enhancement, object detection, extraction of prominent objects and text recognition; an augmented reality module (108) coupled to a processor, wherein the augmented reality module (108) is configured to overlay context-related digital information onto the user's field of vision; an IoT communication interface (110), wherein the IoT communication interface (110) enables real-time connectivity with external devices and cloud services; and an output interface (112), wherein the output interface (112) comprises audio feedback, haptic feedback or a tactile display designed to transmit detected information to the user.
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Description

AREA

[0001] The present disclosure relates generally to a wearable smart glasses system for improved visual support through image recognition, augmented reality and IoT connectivity. GENERAL STATE OF THE ART

[0002] Smart glasses are wearable devices that integrate optical components, sensors, processors, and communication modules to deliver information to the user in real time. Conventional smart glasses typically use augmented reality, image recognition, and IoT connectivity for applications such as navigation, industrial assistance, and entertainment. However, existing systems offer limited accessibility, particularly for visually impaired users who require reliable contextual awareness in dimly lit, crowded, or dynamic environments. Known solutions rely primarily on visual or auditory output and lack effective multimodal feedback mechanisms.Therefore, there is a need for a supportive wearable system that seamlessly integrates image recognition, augmented reality, IoT connectivity and tactile feedback to improve situational awareness and independence for visually impaired individuals. SUMMARY

[0003] The subject matter of the present invention is defined in the claims. BRIEF DESCRIPTION OF THE FIGURES Fig. Figure 1 illustrates a wearable smart glasses system for enhanced visual support through image recognition, augmented reality and IoT connectivity. DETAILED DESCRIPTION OF THE INVENTION

[0004] Conventional smart glasses integrate augmented reality, image recognition, and IoT connectivity, but offer only limited accessibility for visually impaired users. Existing systems do not provide reliable multimodal feedback in low-light, crowded, or dynamic environments, thus limiting real-time contextual awareness and independent navigation.

[0005] The present disclosure overcomes the aforementioned limitations by providing a wearable smart eyewear system for enhanced visual assistance through the holistic integration of advanced technologies into a single ergonomic platform. The system comprises a frame configured to house electronic components, an image acquisition unit capable of capturing real-time image data in low-light and daylight conditions, and a processing unit functionally connected to the image acquisition unit. The processing unit executes deep learning models for image enhancement, object detection, extraction of prominent objects, and text recognition. An augmented reality module overlays the user's field of vision with contextual digital information to assist with navigation and orientation.An IoT communication interface enables real-time connectivity with external devices and cloud services for data updates and the exchange of contextual information. An output interface provides multimodal feedback through audio output, haptic signals, and a tactile display, tailored to convey detected information to the user. The frame is ergonomically designed, lightweight, and unobtrusive, allowing for extended use. The modular architecture enables scalability and customization through the integration of additional sensors or output modalities. By ensuring consistent terminology and synergistic operation of each functional block, the invention provides reliable contextual perception, enabling visually impaired users to effectively perceive, orient themselves within, and interact with their environment.

[0006] Fig.Figure 1 illustrates a wearable smart glasses system 100 designed to provide enhanced visual support to visually impaired users. The system 100 comprises a frame 102 configured to accommodate electronic components, including an image acquisition unit 104 adapted to capture visual data in real time under both low-light and daylight conditions. A processing unit 106 is operationally coupled to the image acquisition unit 104 and configured to execute deep learning models for image enhancement, object detection, prominence extraction, and text recognition. An augmented reality module 108, connected to the processing unit 106, overlays the user's field of vision with contextual digital information.The system further includes an IoT communication interface 110, which enables real-time connectivity with external devices and cloud services, and an output interface 112, which provides audio feedback, haptic feedback, or a tactile display and is designed to transmit detected information to the user. The figure schematically illustrates the interaction between these components and their integration into the smart glasses system 100.

[0007] Although embodiments of the wearable smart glasses system for enhanced visual support with certain structural features and functional modules have been described, it should be noted that the appended claims are not limited to the specific embodiments disclosed herein. Rather, the disclosed features and modules are provided as examples, and variations, modifications, and equivalents may be made without departing from the scope of the present invention as defined by the claims.

Claims

[1] System (100) for wearable smart glasses that provides improved visual support to visually impaired users, the system (100) comprising: a frame (102) wherein the frame (102) is configured to accommodate electronic components; an image acquisition unit (104), wherein the image acquisition unit (104) is designed to be able to capture visual data in real time under low light conditions and daylight; a processing unit (106) wherein the processing unit (106) is functionally coupled to the image acquisition unit and is configured to execute deep learning models for image enhancement, object detection, extraction of prominent objects and text recognition; an augmented reality module (108) coupled to a processor, wherein the augmented reality module (108) is configured to overlay context-related digital information onto the user's field of vision; an IoT communication interface (110), wherein the IoT communication interface (110) enables real-time connectivity with external devices and cloud services; and an output interface (112), wherein the output interface (112) comprises audio feedback, haptic feedback or a tactile display designed to transmit detected information to the user. [2] The system (100) according to claim 1, wherein the image acquisition unit (104) comprises a low-light camera with noise reduction function and the processing unit (106) is configured to perform real-time object recognition and text recognition based on the captured image data. [3] System (100) according to claim 1, wherein the output interface (112) provides multimodal feedback via audio output, haptic signals and a tactile display to assist the user in navigation, object identification and interpretation of environmental information.