We’ve been witnessing since early 2013 the exponential growth and popularity of electric passenger vehicles and to this day this trend does not show signs of slowing down as EV sales, government EV subsidies and manufacturers’ pledges for reducing carton footprint, all point towards a gradual but inevitable EOL of almost all internal combustion engine (ICE) vehicles.
A dairy product company with more than 600 employees, a fleet of 80 trucks and 700 vehicles wishes to further ensure production safety and perimeter security by streamlining their factory facilities’ surveillance system; one of their most expansive production areas extends over 50,000 square meters and is located right next to a wooded land.
Since cell tower sites and multi-site offices are spread over multiple geographies, covering urban and remote areas, monitoring cell tower sites from a centralized location is becoming increasingly difficult. Non-visibility of energy consumption and asset maintenance further increases OPEX and significant security threats.
Retail (brick-and-mortar and e-commerce) can leverage computer vision to analyze image data and generate insights. With video cameras around a retail store collecting digital images and a Deep Learning (DP) model, the retail store could identify and classify objects accurately and react immediately to what they see. But implementing Computer Vision can be pretty challenging because it needs large sets of data and a scalable and manageable computing power that only the cloud could give.
Creating and controlling microclimates inside greenhouses for sensitive plants such as orchids, exotic fruits, and mushrooms can be pretty challenging. Although there are some monitoring and controlling systems, such as SCADA, that can control environments for such sensitive plants; these systems have limitations when it comes to connectivity and interoperability.
The Internet of Things (IoT) is a vital component for a Remote Patient Monitoring (RPM) solution. An IoT-based RPM system improves patients’ health-related outcomes and helps them reduce expenses. It also allows doctors to optimize patient care and diagnosis efficiency. Doctors can remotely monitor patients in acute conditions on an ongoing basis and immediately attend to patients in distant locations.
Intelligent Transportation System, and smart traffic management systems are an indispensable component in developing Smart Cities. In any city, mobility is a key concern, and not just limited to traffic congestion control and information, but also road safety and efficient infrastructure usage. These technology solutions prepare Smart Cities for coming technology evolutions, including Connected Autonomous vehicles (CAVs) and full deployment of 5G networks.