/ra ‘spɛkt/
A compound word that implies “Raphael” (rāp̄āēl) (a Hebrew word that means healing) and “Inspection” guiding us to build a “brain” for architectural Safety, Serviceability and Sustainability through AI inspection.
RaSpect is an AI-powered Predictive Inspection Company for Built Infrastructures.
Our vision is to make our cities Safer, Greener and Smarter.
By integrating IoT sensing technology and robotics system, we aim to automate the process of data collection and standardize it to achieve remote detection and real-time monitoring. We further attempt to establish high-quality inspection of big data, utilise deep learning, image recognition, big data analytics, and other cutting-edge technologies to conduct early warning analysis for built infrastructure safety. We can effectively assess the potential risks of architectural designs and calculate the degree of damage after a comprehensive analysis of the above data. We promise that our solution not only provides more accurate detection and analysis than traditional methods but also saves more than 50% of time and cost.
Around the globe, there are millions of aged buildings which urgently need a reassessment of their current status. Throughout the past decades, unexpected failure of structures has resulted in numerous accidents, causing financial losses, physical damage and, more, unfortunately, casualties. Year after year, structures age. Their performance deteriorates with time. And there is an ever-increasing demand for thorough inspections of aged structures. Cities have an increasingly alarming maintenance and subdivision problem with buildings in old areas, where owners cannot afford to upkeep the standard of their assets and have given up any hope for redevelopment. Such a problem is compounded by obstacles to inspection and enforcement due to the lack of technological advancements and innovations in the inspection industry.
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