Object Recognition IoT-Based for People with Disabilities: A Review

This research focuses on a literature study on developing a Mini Smart Camera (MSC) system that utilizes Internet of Things (IoT) technology to help people with disabilities interact with their environment. The MSC serves as an assistive device, which integrates object recognition and speech recognition technologies along with an internet-based two-way communication system. Utilizing state-of-the-art hardware and software, the system captures images, processes audio, and transmits data via Real Time Streaming Protocol (RTSP) and Message Queuing Telemetry Transport (MQTT). These protocols serve different purposes: managing data transmission and enabling communication between machines. The MSC is equipped with a 5 MP camera, 2.5 GHz Quad-Core processor, and 4G connectivity, and is connected to a high-performance Ubuntu 22.04 Linux cloud server. The use of OpenCV libraries and machine learning algorithms ensures fast and precise image analysis. By integrating machine learning and natural language processing (NLP), MSC efficiently handles both visual and audio inputs. Key features, including text-to-speech (TTS) and speech-to-text (STT), provide an interactive and adaptive communication interface. The system is designed to improve accessibility and encourage greater independence for people with disabilities in daily activities. The development of multispectral cameras for disabilities will provide a more detailed analysis for the detection of surrounding objects.

@article{Andriana2025,
  title     = {Object Recognition IoT-Based for People with Disabilities: A Review},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {2},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Andriana and Elli Ruslina and Zulkarnain and Fajar Arrazaq and Sutisna Abdul Rahman and Tjahjo Adiprabowo and Puput Dani Prasetyo Adi and Yudi Yuliyus Maulana},
  doi       = {10.14569/IJACSA.2025.0160248},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160248}
}