Temperature-sensitive products like vaccines, drugs, chemicals, or foods like seafood, meat, or dairy, require temperature-controlled environments across their entire supply chain. A slight fluctuation in temperature and the whole batch of products may be spoiled or damaged completely.
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Current IT monitoring systems are not designed to operate in challenging and dangerous environments, such as the ones found in underground mines. They won’t tolerate dust, high/low temperatures, humidity, or explosions. If a device were to withstand such conditions, providing reliable and fast communications to various dispersed in-field sensors, video cameras is still a pretty challenging endeavor.
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The growing consequences of accelerating climate change have been visible across the world with wildfires, floods, severe heatwaves, and even tropical cyclones in recent years. Climate change presents many challenges to society, as extreme weather events and pollution increases disease infection, while frequent wildfires and droughts threatens livelihoods. Data from an automated weather station (AWS) can be used to detect climate change trends and input into models to predict future changes in our environment.
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Refuge chambers or emergency shelters are heavy duty steel boxes constructed to withstand overpressure of 15 PSI without deformation; each of these chambers is typically comprised of a small airlock chamber and a main chamber, capable of housing up to 20 or more people working in hazardous settings/industries such as underground mining. In the event of an unforeseen disaster caused by fires, floods, rock-falls, or explosions, these chambers, equipped with life-support systems that stay online for several days even when cut off from the main air and power supplies, are the last resort to which everyone involved would escape.
In dense urban environments where traffic flow is heavy, keeping up with traffic control and maintaining road safety at intersections with the heaviest traffic is often tricky as vehicles and pedestrians’ behaviors are erratic and unpredictable, not to mention the fact that not all are prone to follow the traffic regulations at all times.
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Forest fires may have a variety of origins and causes but early detection and warning methods used to limit the extent of their damage are largely the same. Now, cutting-edge AI technology is enabling more rapid detection to facilitate greater advance warning.
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Modern fisheries have embarked on a new era of data and analytics-based technology to provide monitoring capability in a complex operational environment.
To ensure reliable monitoring and recording, the industry is turning to a reliance on Artificial Intelligence-based vision and Big Data analytics enabled by IoT technologies. By using electronic monitoring, video surveillance, sensors, and control systems, today’s fishing industry can achieve cost and risk reduction using intelligent systems.
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