Human beings; from time immemorial, have been regarded as the most intelligent creature due to facts such as higher brain capacity, organized, limitless language and communication skills among others. Today, it’s debatable if this is still the case. This has largely been fuelled by the emergency of machines and robots that nearly if not absolutely mimic humans in all aspects.
Artificial intelligence and its significance
One area that has really grown in and embraced this potential of machines and industrial technology is Artificial Intelligence. One may wonder what artificial intelligence (AI) is and its significance? It is as a field in computer science where machines and devices are design in a manner that they are able to carry out complex and sometimes dangerous tasks normally performed by humans. Such tasks are categorized under speech recognition, learning, planning and problem solving. The industries are adopting artificial intelligence in that the machines learning to automated operations as well as manufacturing procedures and processes. Other areas heavily relying on artificial intelligence- machine learning is in the finance, automobile and healthcare and diagnostics.
Requirements for artificial intelligence
As from the term artificial, for the machines to successful execute commands, it has to be programmatically enabled in what is collectively known as learning or teaching. Two subfields are implemented in the process of machine teaching.
Machine learning (ML)
This is a kind of teaching in which a machine is taught how to carry on a certain task by feeding it with a large set of data. The machine is thereafter directed to come up with predictions on the fed data. The machine is able to utilize imbedded training data to learn as well as understand trends which are then used to make correct predictions.
Deep Learning ( DL )
Also referred to as deep structured learning or hierarchical learning. This is a more advanced subfield of machine learning in which artificial neural network is a plus. It has arrange of and superior applications in fields such as computer vision, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design and the list is long.
Charts displaying revenue generated from AI usage worldwide
Recent reports have it that countless institutions and companies globally have taken immeasurable interest in AI systems. The firms concerned with market intelligence project that the revenue generated from the direct as well as indirect usage of AI software is to shoot from $1.4 billion in 2016 to $59.8 billion come 2025.
Basis of Artificial Intelligence in Drones
Drone industry is no doubt one of the highly growing and adoptive are of artificial intelligence. The drone systems have been upgraded in a sense that flight operations, data and traffic managements are automate. This has spread to a number of industries such as construction, agriculture and mining which are using a combination of drones and artificial intelligence.
To take part in artificial intelligence, drones undergo Deep Learning to gain knowledge by training its neural network. A neural network is termed as a computer system with a design of processing information analogous to the human brain. The lesson to this neural network may include object identification by showing it various images of a sole type of object usually automobile. Once the drone has mastered the object it can identify and recognize similar objects over and over again in the future.
Drone at work
AI has really evolved improving the safety of those on the ground as well as making drone inspections more efficient. A lot of platforms are in attempts fill this gap by collaborating with drone operators in accomplishing flight missions and data management. This will imply that the operator will only have to switch the drone on and the platform takes on from there. It will be up to it to provide a complete end to end solutions such as the optimum flight paths, drone flying across these flight paths as well as generation and analyzation of 3D models centred on the data taken.
The drone with the help of sensors fly on its own, collect the needed data while at the safe time adhering to safety rules.
Drones Traffic Management
It is believed that in the near future, drones will be now different from cars we see on the roads. They will cause traffic! This majorly influenced by commercial and recreational drones which are become an integral part of many people’s lives superfast. In response to this inevitable threat, relevant bodies are already setting up measures to manage and solve this futuristic anticipation. The measures will ensure there are no mishaps not just on the ground with humans but also in the air with manned aircrafts.
The system will allow airspace operations at lower altitudes. This will be achieved through provision of services like designed airspace, corridors, geo-fencing, severe weather evading and many more.
Conclusively, the age and era of drones in the field of artificial intelligence have arrived and there is need to prepare for it.
Pae Natwilai, is the founder of TRIK, a former oil and gas inspection and maintenance engineer, who was named as one of the rising stars in the Forbes 30 under 30.