Behind the popularity of artificial intelligence, it is driving innovation in the lighting industry

Intelligent lighting is a new industry born with the Internet of Things, and a subdivision of the Internet of Things under the influence of the Internet. Intelligent lighting not only has traditional lighting functions, but also enables automatic interaction, providing a more convenient, safe, and comfortable experience.

The traditional lighting supply chain system has been self-contained for a long time, with little intersection with other categories. With the development of the Internet of Things, intelligent lighting systems urgently need to build an integrated system with other smart devices and link with them. The traditional lighting industry chain is no longer suitable for the highly integrated intelligent lighting industry. In the future, traditional lighting should be transformed and upgraded from the commercial model developed by current lighting fixtures to a systematic commercial model.

The popularity of intelligent lighting in the past year or two is due to the rapid development of artificial intelligence. Not long ago, AlphaGo defeated Ke Jie, which is a major symbol of the rapid leap of artificial intelligence from independent thinking to deep thinking: machines, like the human brain, have the ability to think deeply. They will learn and upgrade themselves, and make judgments and predictions about what happens in the process of continuous learning. When we combine these cutting-edge technologies to look at intelligent lighting, there will be many surprising discoveries.

At present, the rapid iteration of technologies such as robotics, language recognition, image recognition, and natural language processing has provided significant technical support for intelligent lighting.

In Sengled's intelligent lighting system, technologies such as music, facial recognition, and heat map analysis are integrated into LED lighting fixtures, giving the lights various "high intelligence" functions such as automatic statistics, automatic recognition, and behavior analysis, and providing deeper system applications based on these functions.

Smart lighting does not exist independently, it will become a part of smart cities and smart homes that runs through our work and life.

Smart city is a new concept in the process of urban development, but the construction of smart cities involves various aspects, making it difficult to establish an effective and unified coordination mechanism nationwide. As the infrastructure of a city, if lighting can first achieve intelligent connectivity, it will effectively promote the construction and development of smart cities.

Smart cities not only emphasize the smart lifestyle brought by high technology, but also focus on the sustainable development of the social economy. Intelligent lighting will help reduce energy consumption and facility maintenance costs, and contribute to smart cities.

The main reason for reducing energy consumption is that intelligent lighting systems can effectively utilize natural light for illumination. Different locations in the city have varying lighting requirements due to changes in weather, seasons, and even the surrounding trees and buildings of streetlights. If the entire city turns on and off lights at the same time, it will not only result in significant energy consumption, but also fail to meet the lighting needs of all regions. By adopting an intelligent lighting control system, this problem can be solved.

By using M2M technology, it is also possible to monitor and remotely control lighting facilities. When a street lamp has a problem, the node will send a fault message to the control center. After receiving the location message, the control center will immediately send operators to the accident site, avoiding the time and cost of troubleshooting.

An important aspect of building a smart city is to ensure public safety. In terms of security monitoring, it can be achieved through the combination of intelligent street lights and high-definition cameras. Through the communication between RFID chips installed on public facilities and nearby streetlights, analyze the geographical location of public facilities, link with the management backend, and then jointly capture and record videos on site for timely message release and accident warnings.