AI-based Edge Computing technology is finding its way into various application scenarios, and one of which is intelligent traffic management. AI-optimized video analytics algorithms enable traffic flow analysis, vehicle counting, license plate recognition and driver/pedestrian behavior prediction, generating tremendous but useful volume of real-time data, at the edge, that can be relayed to the traffic control center for proactive response with almost no latency, not only preventing accidents but also saving lives.
Intelligent surveillance solution is one of the most widely adopted AI applications as it can be deployed for a broad range of use scenarios, delivering advanced video analysis with deep learning for almost all vertical sectors. Before they can leverage the benefits such as AI-enhanced detection accuracy and flexibility, however, businesses and organizations must overcome a significant numbers of challenges before and after a deep learning model is trained because AI-powered video surveillance solutions rely on visual data capture for analyzing/solving security, safety, and operations challenges; and such reliance demands simultaneous analysis of vast volumes of video footage.
Safety and security for the transportation system is considered a matter of the utmost importance at any event, match or tournament as any slip in safety/security could potentially result in mass casualties and unimaginable consequences. The host country or association must be aware of their duties and responsibilities before, during and after matches in relation to safety and security for metro passengers. In other words, the host association must enlist the help of all necessary equipment (hardware & software) and trained persons to ensure that even the slightest incident gets noticed, contained, and resolved.
Running a diner franchise with locations in several large cities with busy populations known for dining out regularly is no small feat. These city dwellers and their demands for classic, homey dish, however, do present a conundrum: often the densest neighborhoods also have the highest ratio of diners to patrons. When people have an abundance of diner choices to pick from, getting a steady flow of customers, repeat visits or even just foot traffic becomes more of a challenge.
Successful procurement management encompasses identifying corporate needs, finding/qualifying goods/services suppliers, requesting proposals, negotiating terms/condition, contracting, delivery and analyzing results. At their most fundamental level such systematic approaches require the use of physical asset management software, robust SFF hardware appliances and services in order to add values, save time/money and streamline business practices that not only meet business goals but also live up to stakeholders’ expectations.
IoT is conventionally associated with consumer electronics and application scenarios. One of such application scenarios is a smart thermostat device used as the connected gateway for connecting you to your air conditioning system at home so that you can switch on/off and/or control interior temperature from a distance, before you arrive at your house. And if a downtime does occur, the connection can be re-established by resetting the said device.
It is estimated that by the year 2030, the number of people living in urban areas will have reached 60 percent of the global population. In other words, more than 4.9 billion people will be dwelling in all corners of predominately urbanized areas in some of the largest city metropolises in the world.