In this study, we present a facial recognition system that integrates blurred face recognition with existing surveillance systems, enhancing security without the need for upgrading older cameras. ... Read More

Water quality is essential for the survival of aquaculture species, making it a prominent issue in the aquaculture sector. Traditional aquaculture operations require substantial manpower and time ... Read More

In this study, we built a robotic arm control system that combines image processing and deep learning methods for a practical industrial application to grab screwdriver bits on a running conveyor ... Read More

A smart grid is one of the promising paradigms of artificial intelligence of things (AIoT), which enables bidirectional communication between the utility side and the consumer side to achieve dem ... Read More

The overloading of heavy vehicles poses significant risks to road safety and infrastructure. Accurate and real-time payload monitoring is critical for mitigating these risks. In this study, we ai ... Read More

Image inpainting is a critical task in computational intelligence, particularly in AI-driven big data environments, where it involves synthesizing missing image content based on available informa ... Read More

Exergames and gamification require continuous innovation to sustain user engagement, as the novelty of emerging technologies gradually diminishes and static modules often fail to maintain long-te ... Read More