We have several emerging technologies such as blockchain, big data, cloud computing, and not to mention- Artificial Intelligence. Owing to AI, it seems to disrupt every business with its unprecedented capabilities and thus capturing a large chunk of the organization’s attention. Many companies are exploring various opportunities with AI to make them productive and efficient.
The public sector is not too far from exploring its capabilities. As it brings forth an astounding potential, the government may look into this technology and harness its cognitive functions.
With improved machine learning and AI capabilities, the world government appears more enthusiastic about AI research and development. As we bring you more applications for the public sector domain, the government can leverage AI technologies and bring operational efficiency for improved citizen engagement and experience. Let’s find some of the relevant areas to bring about improvement and put forth novel and innovative possibilities to harness more.
Street lights are a major part of the government’s smart city initiative. As opposed to traditional lights, low-powered LED lights have been in the operations to replace the burden of energy expenses of the public finances. It was devised to improve the energy efficiency demand for the environment and reduce carbon emission.
But, do you think this lighting solution has rightly adapted to the growing needs of smart cities? Maybe not. Only the smart lighting solutions can complement the attributes of a smart city right after it dusks.
Owing to the incapability of LED lights to be fit for automation, smart lighting can be automated to control its functions. This is necessary as lights in smart cities should always be in action with fewer changes in frequency.
Smart Street lights integrated with IoT, smart sensors, intelligent management systems, and AI can do wonders for the smart cities. These technologies help us manage the intensity of public lights. Also, we can manage its shine specific to requirements. Thus, we can achieve real-time lighting resolutions with smart lighting systems that dim, turn on/off on different terms.
The smart lighting solutions can also enable several intelligent applications, including robust parking management.
Smart Lights And Parking Management – How It Works Together?
Smart lighting solutions feature sensory nodes, which encompass powerful edge computing nodes. The system in use derives data streams from smart lighting, IoT sensors or video graphics and environmental monitoring. The data collected from the entire network can be utilized for citywide parking management.
Cars can be parked anywhere on the city streets without many hassles. The cameras mounted on the street lights fetch data from license plates and analyze images with computer vision. The cloud-based management system connected with the motor vehicle database can provide accurate and real-time data about time incurred by the car, hence charging the exact amount for parking time during exit at the gateway.
The next big thing and application of AI is the traffic light management. It means when you implement AI to traffic light management, it provides dynamic traffic control possibilities. With better control over traffic lights previously executed by metronomic system, it guarantees improved and real-time traffic flow using cameras integrated with computer visions instead of timers.
If it is in place, the government can strategize better methods to manage the traffic barrage of vehicles that creates unnecessary blocks on the highway or major streets during peak hours and normal days.
How does it work?
All it takes the AI-based smart traffic management system to adapt to the traffic signal timing. The computer derives video streams from one or more routes. It then analyzes traffic flow depending on the available video data. Later it decides how a change can impact the traffic flow against the predefined objectives. The computer vision calculates changes with respect of the traffic signal timing. As a result, it optimizes the activity of the traffic signal and determines better route to enable traffic flow.
· It enables real-time traffic flow using the dynamic traffic patterns that includes different modes of travel, vehicles, pedestrians, cyclists and many to keep transportation moving and every one safe.
· Real-time traffic control to improve time-savings
· Reduced carbon emission and improvement of air quality
3. Waste Sorting and Recycling
We have tons of garbage generated every day. Currently we are dealing with 1.3 billion tons of municipal waste as per the World Bank. It is dreading as it is expected to grow to 2.2 billion tons by 2025. Isn’t a growing problem for waste management and recycling?
Well, we can use AI for smart recycling and manage waste sustainably.
With the advancement in Artificial Intelligence, to implement smart recycling for managing waste, robotic waste sorter can provide intelligence methods to get rid of the problem.
· For Waste Sorting
§ Using RFID tags, it is possible to ease waste sorting. When tagged with the garbage buckets, the garbage disposal system reads these tags. By extracting data and parsing it, the system determines appropriate methods to dispose of the waste.
§ With smart trash cans that have inbuilt AI capabilities, you can speed the process of garbage sorting through a large pile. The system can identify and categorize type of waste and sort it inside the bin and dispose of waste with the help of machine learning. It also can refine its functions by analyzing historical data and improve its efficiency.
· For Smart Recycling
Recycling is important. AI-embedded trash can harness data with the power of sensors and machine learning to identify the garbage types. The interesting thing is, it can measure the weight of the trash in the bin, segregate liquid objects, and put the right garbage into the right can. It offers 90% of accuracy in recycling garbage and is perfect for high traffic locals such as shopping malls, and airports.
4. Weather Forecasting
Weather forecasting is a challenging task. That’s because some technology such as Numerical Weather Prediction cannot offer actionable insights into weather behavior. NWP uses computational fluid dynamics and implements basic conversational laws and other external sources to determine weather patterns. It can offer weather insights on a large-scale, but some small scale matters such as precipitation do not receive accurate insights.
Besides, the weather prediction reports of rainfall from storms and fierce winds are sometimes not accurate and reliable.
AI-embedded weather forecast is way faster and better than traditional weather forecasting. By deriving abundance of weather information, Trained ML-based model can offer accuracy and efficiency about rare and extreme weather conditions easily. The US National Oceanic and Atmospheric Administration (NOAA) has been implementing AI to improve their understanding about weather forecasts.
· Quick and intelligent image and signal processing
· Faster pattern recognition
· Accurate prediction capabilities
· Real-time weather data improves disaster preparedness response for high-impact critical events such as hurricanes, thunderstorms and tornadoes
· Improves cost-savings
It is definite that AI can offer us immense possibilities to enhance forward-thinking innovation at every scope of life. The public sector could be the next frontier that can implement AI to the largest potential and leverage its benefits. SynergyLabs inspired by thought leadership can offer better strategies for AI deployment in different areas of services. If you need any AI assistance, we can guide you on a successful journey. For more info about our products and services, contact us today.