Real-Time Object Detection & Monitoring

This paper provides an advanced actual-time object detection and monitoring machine designed to assist visually impaired individuals in navigating their surroundings adequately and independently. Leveraging the YOLOv8 (You Only look once) segmentation version, our implementation combines laptop vision with auditory comments to offer comprehensive environmental attention. The device detects items, estimates their distance, identifies colorations, and supplies actual-time voice alerts. Our technique demonstrates considerable development in processing speed (45 FPS on purchaser hardware) at the same time as maintaining excessive detection accuracy (92% mAP on COCO dataset benchmarks).
Integration of KD-tree based color recognition and place- based totally depth estimation gives additional contextual data beyond traditional object detection structures.

Object Detection, YOLO, real-Time monitoring

1. M. Obayya, F. N. Al-Wesabi, M. Alshammeri, H. G. Iskandar, “An smart optimized item detection gadget for disabled human beings using advanced deep getting to know fashions with Sparrow search Optimization (ODSDPADLMSSO),” Sensors, vol. 25, article page>, 2025. [Google Scholar] [Crossref]

2. Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Shahid Munir Shah, Mahmoud Aljawarneh, Abdul Akbar Khan, Muhammad Hamzah Siddiqui, “AI-based Wearable imaginative and prescient help device for the Visually Impaired: Integrating actual-Time object recognition and Contextual expertise the usage of big vision-Language fashions,” arXiv preprint, Dec. 2024. [Google Scholar] [Crossref]

3. Preeti Kathiria, Sapan H. Mankad, Jitali Patel, Mayank Kapadia, Neel Lakdawala, “Assistive systems for visually impaired people: A survey on cuttingedge requirements and advancements,” Neurocomputing, vol. 606, Nov. 2024, 128284. [Google Scholar] [Crossref]

4. “Empowering the Visually Impaired: YOLOv8-based item Detection machine,” Procedia computer science, vol. , 2025. [Google Scholar] [Crossref]

5. “Adaptive object Detection for Indoor Navigation help: A overall performance assessment of real-Time Algorithms,” arXiv preprint, Jan. 2025. [Google Scholar] [Crossref]

6. Dionysia Danai Brilli, Evangelos Georgaras, Stefania Tsilivaki, Nikos Melanitis, Konstantina Nikita, “AIris: An AI-powered Wearable Assistive device for the Visually Impaired,” arXiv preprint, might also 2024. [Google Scholar] [Crossref]

7. “improvements in clever Wearable Mobility Aids for visible Impairments,” Sensors, vol. 24, no. 24, 7986, 2024. [Google Scholar] [Crossref]

8. “A wearable assistive gadget for the visually impaired the usage of object reputation, distance size & tactile glove,” sensible Robotics & programs, 2023. [Google Scholar] [Crossref]

9. “YOLOInsight: synthetic Intelligence-Powered Assistive tool for Visually Impaired using internet of things and actual-Time item Detection,” Cureus magazine of clinical technological know-how, 2024. [Google Scholar] [Crossref]

10. “Deep-gaining knowledge of-based Cognitive help Embedded systems for Visually Impaired: obstacle Avoidance + man or woman & Emotion identification,” applied Sciences, vol. 15, no. eleven, 5887, 2024. [Google Scholar] [Crossref]

11. “clever Assistive Navigation machine for Visually Impaired people,” magazine of disability & Rehabilitation, 2024. [Google Scholar] [Crossref]

12. Pritam Langde, Shrinivas Patil, Prachi Langde, “Automating file Narration: A Deep studying primarily based Speech Captioning machine for Visually Impaired individual,” global magazine of smart structures and applications in Engineering, 2024. [Google Scholar] [Crossref]

13. “AI-Powered Assistive technologies for visible Impairment: A overview,” arXiv preprint, Mar. 2025. [Google Scholar] [Crossref]

14. “enhancing item Detection in Assistive era for the Visually Impaired: A DETR-primarily based approach,” IJETT, 2025. [Google Scholar] [Crossref]

15. “An affordable Low-price Wearable answer for object Detection in Visually Impaired: Ultrasonic Wearable tool,” EPJ meetings, 2025.U. Masud, T. [Google Scholar] [Crossref]

16. Saeed, H. M. Malaikah, F. U. Islam, and G. Abbas, “clever assistive gadget for visually impaired people obstruction avoidance thru object detection and class,” IEEE get entry to, vol. 10, pp. 13428– 13441, 2022. [Google Scholar] [Crossref]

17. S. Suman, S. Mishra, ok. S. Sahoo, and A. Nayyar, “imaginative and prescient navigator: a smart and clever impediment reputation version for visually impaired users,” cellular information systems, 2022. [Google Scholar] [Crossref]

18. L. Liu, W. Ouyang, X. Wang, P. Fieguth, J. Chen, X. Liu, and M. Pietikäinen, “Deep studying for generic object detection: A survey,” worldwide journal of laptop vision, vol. 128, pp. 261–318, 2020. [Google Scholar] [Crossref]

19. P. Devika, S. P. Jeswanth, B. Nagamani, T. A. Chowdary, M. KaveripAam, and N. Chandu, “item detection and reputation the usage of TensorFlow for blind humans,” JnJ. Res. J. Mod. Eng. Technol. Sci., vol. 4, no. 3, pp. 1884–1888, 2022. [Google Scholar] [Crossref]

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