These people can use this particular prototype for self -navigating their way. The performance of the proposed device has been tested on 36 people, including 20 visually impaired and 16 blind-folded people belonging to different age groups. To keep doing their daily tasks, vision-impaired people usually seek help from others. The indoor mode has a smaller threshold value for the distance of obstacle compared to the outdoor mode. The conversion to audio signals is done by using an e-Speak tool which forms Googles Text to Speech (gTTS) system. Neural Correlates of Natural Human Echolocation in Early and Late Blind Echolocation Experts. The proposed system assists the visually impaired to recognize several objects and provides an audio message to aware the user. Thus, three steps have been taken to deal with these kinds of problems. published in the various research areas of the journal. 555561. IOP Conference Series: Materials Science and Engineering, ; Hsu, C.-H.; Chen, J.-H.; Yang, T.-C.; Lin, C.-P. MedGlasses: A Wearable Smart-Glasses-Based Drug Pill Recognition System Using Deep Learning for Visually Impaired Chronic Patients. ; Braithwaite, T.; Cicinelli, M.V. If none of the trained objects are detected in the captured frame, then it will calculate the distance through the ultrasonic sensors. Copyright 2022 Elsevier B.V. or its licensors or contributors. A camera-based assistive system for visually impaired or blind persons to read text from signage and objects that are held in the hand and then communicate this information aurally, which outperforms previous algorithms on some measures. The statements, opinions and data contained in the journal, 1996-2022 MDPI (Basel, Switzerland) unless otherwise stated. Al-Madani, B.; Orujov, F.; Maskeliunas, R.; Damaeviius, R.; Venckauskas, A. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Chen, X.; Xu, J.; Yu, Z. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops. Deep Multi-Layer Perceptron-Based Obstacle Classification Method from Partial Visual Information: Application to the Assistance of Visually Impaired People. For example, in a case where 5 people are present in the scene, the conventional system will take the equivalent of five times to prompt the word person, or more (because of a time gap in between pronouncing two words). >xDGyEvo{FXdI{dT'aJ$a>? Once the images were annotated, the respective annotation files were also generated. 65176525. Get all the latest information on Events, Sales and Offers. The device is programmed to work in a fully automatic manner to perform object recognition and obstacle detection. Four laser sensors are used in the system to detect the objects in the direction of the front, left, right and ground. 779788. Product was successfully added to your shopping cart. paper provides an outlook on future directions of research or possible applications. It has an omnidirectional wheel assisted with a high-speed processing controller using a LAM-based linearization system with a non-linear disturbance observer. Resources are used in an optimized way to reduce energy consumption. 51815184. The proposed methodology can make a significant contribution to assist visually impaired people compared to previously developed methods, which were only focused on obstacle detection and location tracking with the help of basic sensors without use of deep learning. This site uses cookies. [, Tekin, E.; Coughlan, J.M. SUN database: Large-scale scene recognition from abbey to zoo. The proposed system can easily differentiate between obstacles and known objects. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. To read text, Optical Character Recognizer (OCR) is used after preprocessing the input image frame. Thus, even though the machine learning model processes the frames in real-time, it takes a lot of time to process the next frame, as it has a dependency on the number of the objects present in the current frame and the length of the name of object. x=F|:GZoE _&z& I#'n5xWuMW..?^n9i~qe=cq_EW6mWo^?Qq(xIH7(`2YIpNL_'WMOIQM/Nl.^I5i< n=e#p'{7W.'7=v38|@&Cp"4\ 5ON=y#L]D~u}=rdxL:=1s ?8fN3DN H %"|-Ji9'wLt/zE*G=wp"zw2rlf{wUu|4_ This paper proposes an artificial intelligence-based fully automatic assistive technology to recognize different objects, and auditory inputs are provided to the user in real time, which gives better understanding to the visually impaired person about their surroundings. Regarding input signal observation, 98% responded that they have heard the sound appropriately and the remaining 2% of individuals missed hearing the signal. <>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/MediaBox[ 0 0 595.32 841.92] /Contents 4 0 R/Group<>/Tabs/S/StructParents 0>> Ultrasonic sensors derive power only when the objects are not present in a captured scene. Various rehabilitation workers and teachers working in this field were also involved to help to conduct the experiments smoothly. interesting to authors, or important in this field. These kinds of devices are accurate in terms of location, but are ineffective in case of obstacle avoidance and object identification. endobj You must have JavaScript enabled in your browser to utilize the functionality of this website. ; Leasher, J.; Limburg, H.; et al. Visually impaired people face numerous difficulties in their daily life, and technological interventions may assist them to meet these challenges. Device instructions can also be made multi-lingual by just recording the instructions in other languages. Global Trends in the Magnitude of Blindness and Visual Impairment. Vision impairment is classified into near and distance vision impairment. permission is required to reuse all or part of the article published by MDPI, including figures and tables. B-Tech Electronics and Communication Engineering, Amal Jyothi College of Engineering, Kanjirappally, Kerala, India, https://doi.org/10.1088/1757-899X/1085/1/012006. : Mater. Then, real-time object detection is carried out by using YOLO network. of Electronics & Communication Engineering, Amal Jyothi College of Engineering, Kanjirappally, Kerala, India, 2 Echolocation [. While in outdoor environments, trained objects such as cars, humans, and vehicles were used. The developed technology is found to be highly useful, with which users can also understand the surrounding scenario easily while navigating without putting in too much effort. All previous inventions and research works for blind or visually impaired people which use ultrasonic sensors to detect obstacles define their range and play a warning sound whenever an obstacle comes across the sensor. Di, P.; Hasegawa, Y.; Nakagawa, S.; Sekiyama, K.; Fukuda, T.; Huang, J.; Huang, Q. Export citation and abstract In Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 1318 June 2010; pp. Mancini, A.; Frontoni, E.; Zingaretti, P. Mechatronic System to Help Visually Impaired Users during Walking and Running. Publishing. [. Subscribe to receive issue release notifications and newsletters from MDPI journals, You can make submissions to other journals. Above all, the whole system is standalone and needs no internet connection to perform object detection and safe navigation. All were given sticks and a supporting person while using the proposed framework. The final dataset, that consists of annotated images and respective annotation files, was divided into two setstraining and validation. ; Magatani, K. A navigation system for the visually impaired an intelligent white cane. Trinocular Microscope with DIN Objective and Camera 40x - 2000x, Binocular Inverted Metallurgical Microscope 100x - 1200x, Trinocular Inverted Metallurgical Microscope 100x - 1200x, Microscope Blank Glass Slides, 50 cover slips, Junior Medical Microscope with Wide Field Eyepiece & LED 100x - 1500x. The detected image is converted to speech by using the gTTS module and the audio result is provided to the user through a headset. If no objects are identified in present frame, then it takes input from an ultrasonic sensor regarding the distance from the object, and if the calculated distance is less than the threshold, then it treats object as an obstacle and warns the person through an auditory message, as shown in flow chart in, Different modes are designed in the device to provide wider assistance such as indoor, outdoor or text-reader mode. Face recognizer can also be associated with the device, where users can identify known persons and family members, which will help in them to be social and secure. Object Detection Featuring 3D Audio Localization for Microsoft HoloLensA Deep Learning based Sensor Substitution Approach for the Blind.
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 4 0 obj Editors Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. The test is conducted for both indoor and outdoor environments. Blind or visually impaired people does not have any conscious about the danger they are facing in their daily life. Editors select a small number of articles recently published in the journal that they believe will be particularly [, Deng, J.; Dong, W.; Socher, R.; Li, L.-J. This paper represents an IoT-enabled automated object recognition system that simplifies the mobility problems of the visually impaired in indoor and outdoor environments. and C.M.T.-G.; supervision, M.K.D. Once the performance testing is complete, the trained model is loaded onto a small DSP processor and equipped with ultrasonic sensors to detect the obstacles. The system is made for hundred objects of different classes. The proposed system is developed with the least cost components such that the whole system costs an affordable budget. To find out more, see our, Browse more than 100 science journal titles, Read the very best research published in IOP journals, Read open access proceedings from science conferences worldwide, Published under licence by IOP Publishing Ltd, Bundesanstalt fr Materialforschung und prfung (BAM), IOP Conference Series: Materials Science and Engineering, Fast and accurate obstacle detection of manipulator in complex humanmachine interaction workspace, Traffic vehicle cognition in severe weather based on radar and infrared thermal camera fusion, In object detection deep learning methods, YOLO shows supremum to Mask R-CNN, M-YOLO: A Nighttime Vehicle Detection Method Combining Mobilenet v2 and YOLO v3, Non-contact measurement of human respiration using an infrared thermal camera and the deep learning method, Detection and Content Retrieval of Object in an Image using YOLO, Head of Division "Thermographic Methods" (m/f/d), 13 positions for PhD candidates/research associates, Copyright 2022 IOP [. It checks whether the system is capable of differentiating between the two classes of objects after the detection. The auditory information that is conveyed to the user after scene segmentation and obstacle identification is optimized to obtain more information in less time for faster processing of video frames. [. permission provided that the original article is clearly cited.
A new method to classify clothes patterns into 4 categories: stripe, lattice, special, and patternless, and develops a new feature combination scheme based on the confidence margin of a classifier to combine the two types of features to form a novel local image descriptor in a compact and discriminative format. Croce, D.; Giarre, L.; Pascucci, F.; Tinnirello, I.; Galioto, G.E. Redmon, J.; Farhadi, A. YOLO9000: Better, Faster, Stronger. Deep learning-based object detection, in assistance with various distance sensors, is used to make the user aware of obstacles, to provide safe navigation where all information is provided to the user in the form of audio. ; Goodale, M.A. Lpez-De-Ipia, D.; Lorido, T.; Lpez, U. BlindShopping: Enabling Accessible Shopping for Visually Impaired People through Mobile Technologies. Patil, K.; Jawadwala, Q.; Shu, F.C. Annual International Conference on Emerging Research Areas on "COMPUTING & COMMUNICATION SYSTEMS FOR A FOURTH INDUSTRIAL REVOLUTION" (AICERA 2020) 14th-16th December 2020, Kanjirapally, India Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: A systematic review and meta-analysis.