AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Visually impaired individuals encounter considerable difficulties while navigating indoor and outdoor environments due to their inability to perceive obstacles, objects, and surrounding conditions. Conventional assistive aids, such as white canes and guide dogs, offer only limited support because they primarily detect...
An AI-powered assistive system designed to enhance the mobility, safety, and independence of visually impaired individuals, creating a smart, voice-guided companion that empowers visually impaired users to navigate their surroundings with confidence and independence.
The article comprehensively outlines the development trajectory of visual semantic perception technology for mobile vehicles, providing a systematic theoretical reference for the design and embedded deployment optimization of visual algorithms for mobile robots in warehousing and inspection tasks.
Real-time object detection and recognition based on computer vision and AI play an important role in assisting individuals with visual impairment. However, existing related tools have limitations in immediate auditory feedback to the users. Thus, this paper employed YOLOv8n model to address the limitations. The model i...
Pedestrian detection plays a crucial role in computer vision with applications in autonomous driving, surveillance, and public safety. However, real-world dense scenes bring severe challenges, including heavy occlusion, drastic scale variations, and strict real-time requirements. Existing lightweight detectors struggle...
Despite recent progress, people who are blind or visually impaired still face navigation difficulties, even in familiar surroundings. The current state-of-the-art approach to this problem is multi-sensor assistive technology, but additional sensors increase hardware cost and system complexity. This work proposes a came...
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