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Smart street lighting solution for remote rural areas of India

机译:印度偏远农村地区的智能路灯解决方案

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Though many smart street lighting solutions is available for urban areas, comparatively fewer solutions exist for rural areas. In the recent times, village streets have been illuminated with artificial lights as a part of rural development drive undertaken by the governments of respective countries. But, vehicle and pedestrian traffic is quite low through village roads. Hence, if light remains on all night long on such roads, then there is a huge wastage of energy. This calls for solutions to reduce this energy loss in an efficient manner. There are a lot of factors which must be kept in mind while designing solutions. Many villages lack the proper infrastructure to support new technologies. Communication facilities are limited, lack of local technically skilled labor, lack of security, etc. After evaluating these opportunities and challenges, an attempt has been made to devise a smart street lighting solution tailored for remote rural areas in India. One part of the solution discusses how intensity of the LED street lights can be varied according to the ambient lighting conditions using sensors and LED switching in LED matrix. An artificial intelligence (AI) has also been modelled to identify traffic conditions using PIR sensors and object identification through image processing and independently control the lights. It also tracks the performance and status of each light. It would send this data and necessary notifications to a distant control center for human evaluation. This solution is also applicable for other rural areas throughout the world.
机译:尽管许多智能街道照明解决方案可用于城市地区,但相对而言,农村地区的解决方案相对较少。近来,作为各国政府进行的农村发展驱动的一部分,村庄的街道已被人造灯照亮。但是,穿过乡村道路的车辆和行人交通非常少。因此,如果在这样的道路上整夜保持光亮,则将浪费大量能源。这要求以有效方式减少这种能量损失的解决方案。设计解决方案时,必须牢记许多因素。许多村庄缺乏支持新技术的适当基础设施。通信设施有限,缺乏当地技术熟练的劳动力,缺乏安全性等。在评估了这些机会和挑战之后,已尝试设计一种针对印度偏远农村地区的智能路灯解决方案。解决方案的一部分讨论了如何使用传感器和LED矩阵中的LED开关根据环境照明条件改变LED路灯的强度。还对人工智能(AI)进行了建模,以使用PIR传感器识别交通状况,并通过图像处理识别物体并独立控制灯光。它还跟踪每个灯的性能和状态。它会将这些数据和必要的通知发送到远程控制中心进行人工评估。该解决方案也适用于世界各地的其他农村地区。

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