WE ARE ON A MISSION
This is Smart Safety
Natural disasters such as hurricanes, tornadoes, and floods have devastating effects on communities across the world. When a disaster strikes, federal, state, and local governments need a coordinated strategy, accessible data, and a skilled workforce to manage the response.
GATHERING DATA BEFORE A DISASTER STRIKES
IoT sensors collect data and systematically broadcast signals from emergency areas and send directly to government agencies and emergency teams. For example, sensors can measure temperature, water quality, pressure, level, smoke, and humidity, to name just a few uses. In the case of wildfires, sensors can detect how far and how fast is the fire spreading. For hurricanes or tsunamis, sensors can monitor water levels to send alerts at the first sign of flooding. Sensors can also be used to detect the presence of harmful gases or chemicals emanating from a storage tank, factory, or plant in the path of destruction. These devices can be critical for urgent decisions like whether to evacuate an area at risk of flooding, or how to guide residents to the safest exit routes ahead of an emergency.
CONNECTING PEOPLE AND INFO DURING A DISASTER
In order to respond with precision, government agencies and emergency response teams should establish communication systems between the mobile devices of an at-risk area’s residents and IoT sensors in the field. Doing so can help facilitate and expedite a local response during the disaster. The system should respond to incoming information based on data it receives from the IoT sensors and signals from citizens’ mobile devices. Response teams can also use the sensor data for coordination, analytics, outreach strategies, and on-the-ground tactics.
With the implementation of IoT technology, we can mitigate risks, prevent damage and reduce costs. The deployment of smart, connected sensors, combined with machine-learning-powered analytics tools, can enable us to gather information, make predictions and reach decisions that will make our roads safer.
DETECTING ROAD CONDITIONS
IoT road sensors can provide real-time data from roads to help divert the flow of traffic away from areas of hazard. Road sensors are going to be one of the most crucial developments that will take place in the world of transportation with the introduction of the Internet of Things technology. Road sensors can be easily embedded under the roads so that they can effectively measure the changes in temperature, traffic volume and humidity, among other weather and traffic constraints.
Traffic lights that use real-time data feeds are being used to smooth traffic load. Sensors mounted at strategic places can use IoT technology to gather data about high traffic junctions and areas diverting vehicles from these places. Big data can analyze this information further and figure out alternative routes, as well as better traffic signaling to ease congestion. Meanwhile, road-side lights can also work according to weather sensors mounted on them. Dimming of light happens not only as a part of the day-night process but also when weather conditions turn murky. Roadside light sensors can pick up these signals and turn them on and off accordingly.
UNSAFE DRIVING PATTERNS
If a driver is operating his/her vehicle at an unsafe speed for current conditions, our IoT fleet management systems give people the data you need to quickly assess the issue and avoid any accidents. Sometimes, the drivers may not have even realized they were operating their vehicle unsafely, but with real-time data from an IoT system people can address the issue before it turns into an accident.
PROPER DEPLOYMENT OF RESOURCES
For transportation safety officials and road crews, using the data generated from IoT fleet management systems can aid in the proper deployment of resources to keep roads safe for all drivers, including their own crews. In areas with heavy snow, properly allocating resources to roadways early on in a storm can result in more efficient road clearing and safer road conditions. Additionally, IoT data can be used to ensure that road crews have the sufficient equipment and resources necessary to safely clear dangerous road conditions or obstructions. Fallen trees, flooded roads, and heavy snows can all be difficult to clear, and dangerous to deal with when other drivers are on the road. Proper deployment can alleviate some of this danger by ensuring road crews also have the heavy equipment and signal operators to safely operate.
IoT CRIME CLASSIFICATION
IoT crime classification can enable investigators to efficiently assess large amounts of information and rapidly extract intelligence from the huge amount of collected data. It also reduces the time it takes to identify threat actors and helps investigators focus on a smaller number of potential suspects. Studying similar cases from the same class should provide guidance on relevant evidence, the legal admissibility process and evidence verification methods. Classification of IoT crimes can also prepare investigators to combat emerging threats, even in the absence of proper processes. By assigning a new crime to a predefined category, investigators can begin collecting and examining evidence based on past experience.
Face recognition and data harvested from the Internet of Things by police can be analyzed to create a picture of crime patterns and trends. By applying predictive analytics and machine learning to big data, police can spot where violent crime may happen next.
Temperature sensors are currently configured to detect temperatures in normal ranges, but special heatproof sensors could detect the temperature of fires. This would not only detect fires before they emit smoke, but could also give firefighters a clue as to the intensity of fires, allowing them to alter their equipment and approach. All of this information could be transmitted automatically to fire crews, even happening alongside the emergency call. A voice alarm system could also inform evacuating employees of the best escape routes, based on the path of the fire.
DURING A FIRE
The lack of information firefighters have at times can lead to lost lives. This is something the Internet of Things can help out with tremendously. Plus, Variantz platform automatically notifies building owners in an emergency. It’s not so far-fetched that it might also work to trigger automatic response systems against an advancing blaze.
For greater water power, such a system might also employ a pump to wield more water from nearby koi ponds, swimming pools or standby cisterns or tanks. In the event of power failure, solar-powered generators keep the whole system working. Existing generators could power a home’s water supply for several hours. What’s more, prices for generators have dropped dramatically, making them more accessible.