In today’s digitally transformative world, the impact and advent of technology as an enabler rather than as a mere logistical tool is an established fact. Innovative solutions that use IoT and cloud services to store, analyse and disseminate data have created widespread disruption across industry sectors and have also been the impetus behind continued research. Given this scenario, organisations (both private and government) have looked to integrate autonomous technologies in particular, into their operations to maximise the possible impact on efficiency and innovation. Many sectors the world over have successfully used autonomous technologies, particularly those related to manufacturing, mining and automotive.
The rise of autonomous automotive
Technology adoption by the automotive sector has mainly centred around the concept of autonomous vehicles (AVs) and the efforts to make them a more viable form of transport. A government report estimates that the connected and autonomous vehicle industry will be worth £28bn in the UK by 2035, making this technology a prime focus area for all industry players. Currently, the industry is capable of producing Level 1 to 3 autonomous vehicles, which correspond to reduced degree of human intervention required during driving. Some of the capabilities that make up these levels include environmental awareness, the real-time condition monitoring of the vehicle and weather analysis. The ultimate goal, however is to enable AVs to reach Level 4 and 5, where the driver’s input is minimal or the driver is made completely redundant. While this goal may only be possible in the distant future, autonomous technology has already begun to include features to make vehicles smarter and more capable of dealing with dynamic demands.
IoT and cloud integration are essential parts of creating autonomous vehicles, to guide the progression from ‘dumb’ cars to smarter, intelligent vehicles that make better use of connectivity.
Autonomous vehicles today are integrated with sensors that constantly collect data in real-time, which is later stored in a remote cloud server for analysis. This effectively transforms the vehicle into a ‘black-box’ recorder that can be used at any point of time to determine the current state of the vehicle’s functioning. The analysed data is then used to create a customised driving profile which enables the in-built software to predict future driving scenarios and devise solutions to prevent accidents. In addition to in-car components, the integration of sensors into current city environments for assets such as traffic lights, lamp posts and traffic signs will help create a larger, more detailed database and improve situational awareness at all times.
Automating the shop floor
Another area where data collection is of essence is in the manufacturing sector, especially on the shop floor. The sector as a whole has moved towards Industry 4.0 with efforts being directed towards mass customisation of products with concurrent cost optimisation and supply chain efficiency. Given the expansion of the ambit of work being done on the shop floor today, autonomous technologies have given organisations the ability to monitor all activities within this space through sensors that constantly gather data. This allows for an increase in productivity by accelerating the production line and Overall Equipment Efficiency. Additionally, by identifying process redundancies and potential safety risks, these technologies contribute an important addition to workforce safety and security.
The integration of autonomous technologies in this sector is visible today through the use of co-bots that work with, rather than replace, human employees in warehouse management. The European co-bots market is predicted to grow by 50.2 per cent between 2018 and 2026, with their usage seeing a distinct upturn as a result of their proven efficiency and ease of use. This, combined with automated guided vehicle systems in the same warehouses, have resulted in the move towards integrating flexible automation solutions to realise the vision of Industry 4.0 in near future, where it is expected to evolve Cyber – Human – Machine – Interface systems.
Mining the depths with autonomous technology
While the shop floor exists in a controllable, indoor environment, the mining sector operates in a more dynamic environment where demands continue to evolve and change. The presence of legacy technology, too, tends to be a major obstacle to digitisation, as evidenced by its designation as one of the two laggard industries in this endeavour by the World Economic Forum. The integration of autonomous technology impacts three major areas within this sector: mobility, sustainability and worker safety. Bringing digital technologies into this sector will enable the use of autonomous drills to reduce the risk of health issues and cave-ins to workers and autonomous haulage to make transport more efficient. The data collected during these activities will allow for on-field situational analyses to determine the best course of action and will ultimately contribute to global sustainability initiatives by reducing environmental impact.
What’s stopping Autonomous Technology
While research is currently being conducted into making the potential benefits of autonomous technology a reality, the industry scenario has showcased a somewhat slow yet steady increase in its implementation. Financial viability has been a major roadblock here as most autonomous technology today is too expensive to be adopted en masse. Many have also questioned the scalability and interoperability of these solutions, raising concerns over the need to develop concurrent support infrastructure to maintain and service autonomous products. Finally, the fear of driver redundancy in the automotive sector and a pervading reluctance towards leaving safety in the hands of technology alone sum up the general opinion among industry players about this form of technology. The potential for autonomous technology has been recognised, however, and with proper implementation and time, the industry is sure to see a distinct upturn in the coming decade.
Sudip Singh, Global Head – Engineering Services & IoT, Infosys
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