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Visual impairment affects more than 285 million people worldwide, limiting their autonomy in everyday tasks such as avoiding obstacles, locating personal objects, or recognizing banknotes. Current technological solutions often rely on cloud connectivity or dedicated hardware. In this context, proposals like VisionAId emerge: an Android application that turns a conventional smartphone into a real-time visual assistant using six deep learning models executed entirely on the device, from depth estimation and instance segmentation to facial detection and a custom banknote detector. A key innovation is its few-shot pipeline for personal objects: the user photographs an object from multiple angles, and the system locates it in the environment, guiding them with augmented reality, spatial audio, and vibrations proportional to distance. All feedback is multimodal, with speech synthesis, voice commands, and vibration, functioning without network connectivity except for optional narrative description via a large language model in the cloud.
This type of development exemplifies how artificial intelligence can be integrated into custom applications to solve real accessibility problems. Optimization through INT8 quantization reduces depth latency from 1200 ms to 491 ms, demonstrating that it is possible to run complex models on mobile hardware. For companies looking to implement similar solutions, having a technology partner that masters both custom software development and the integration of AI for businesses is essential. Q2BSTUDIO offers services ranging from creating AI agents and computer vision systems to secure deployment on AWS and Azure cloud services, ensuring scalability and cybersecurity. Additionally, its business intelligence services with Power BI allow transforming the data generated by these applications into strategic information. The combination of on-device and cloud models, custom object retrieval, and multimodal feedback are just one example of how custom applications can make a tangible difference in people's quality of life, while the business ecosystem benefits from robust, efficient, and user-centered solutions.
