- Posted by Pek Pongpaet
- On August 4, 2017
- 0 Comments
The thought of robots and artificial intelligence has been intriguing to the human mind for decades. With technological advancement, simple ‘robots’ started to be used by the industry to automate processes and improve production time. These simple ‘robots’ have evolved from just automating processes to being able to make intelligent decisions in lieu of human intervention. Machine learning allows computers to learn from patterns to provide robots artificial intelligence. If you want to learn more about machine learning, you can read our article on it here.
Artificial intelligence in conjunction with robots and drones have really improved over the years. This represents a remarkable change in the history of technology as companies will do whatever to integrate machine learning to their business. The road construction industry is utilizing machine learning and it allows them to efficiently use materials, reduce losses, and provide uniform results. Whether it’s avoiding over-compacting or even just improving operational life cycles, machine learning and artificial intelligence are improving decision making.
Building Information Modeling is the process of creating intelligent 3D models to assist with the process of engineering and construction. It is essentially a digital representation of the physical and functional characteristics of an area. Although this development process has been used for a long time, the advancement of drones and artificial intelligence greatly improve this process. Drones can autonomously fly around targeted areas and access surface topography and obstructions such as power lines, trees, etc. This data is integrated with machine learning to project 3D models based on the issues it observed.
The virtual projection allows engineers to plan far ahead to cut down on costs. The quality of data from drones in conjunction with artificial intelligence provides machine learning algorithms with accurate data to provide high quality simulations.
In other cases, this machine learning is assisting in repairing existing roads. Roadbotics has been working on road sensing software that allows users to have their phone mounted in vehicles to gather data on road quality. As the user drives, video is collected and captured on the phone, and the software analyzes everything it sees and provides a color coded map. The colors indicate the quality of the roads that were driven on. As more data is collected on a location, a more accurate map is produced.
The software not only determines obvious signs of wear and tear on roads, but also determines precursors to future damage such as potholes. This integration of machine learning, artificial intelligence, and data collection saves money and time for the construction industry.
So, why is this important to you? These are examples of how machine learning is not limited to the digital world, but can be applied to the physical world as well. We are used to hearing about artificial intelligence and machine learning and think of services like Siri, Google Home, and Amazon Alexa, but in reality, these tech trends are present in our daily life.
If you have data, you can simulate artificial intelligence. Applying artificial intelligence in a business is often difficult to set up at first, but pays off itself as time progresses. Artificial intelligence is not solely meant for autonomy; it is extremely useful to assist in decision making.