It’s no secret that our transformation into highly urbanized technological societies has brought about a host of seemingly insurmountable problems. The host of problems that modern urbanites face has given rise to a new mental framework for solutions; a system through which the built environment uses connectivity and technologies to improve the lives of the citizens and business that inhabit it. That framework is the ‘Smart City’, a new class of concepts and technologies providing a much-needed lifeline for our cities in the world.
‘Smart City’ is a moniker that inspires a vision of a city where key components of infrastructures and services— Environmental, emergency response, traffic and mobility to name a few—are integrated in such a way that features and applications can easily be combined with whatever capability existed before.
The key technology behind the success of smart city initiatives, whether that’s improving the flux of data or the efficiency of emergency responses, is the IoT. The IoT is a network of physically connected devices, like vehicles, robotic systems and infrastructures, that enable these ‘things’ to connect and exchange data.
This, in turn, is creating never-before-seen opportunities to converge the physical and the digital—via connectivity—to improve the efficiency (both in public and private sectors), drive economic benefits and improve livelihoods. Yet, the growth of smart cities will slow if resources are not invested in developing the fundamental backbone of these projects: Businesses that strive in enabling the 4th industrial revolution through AI, IoT and advanced network coverage. This includes 5G coverage, Edge and cloud connectivity which can support hundreds of millions of smart cities sensing devices.
The fundamental question, in this case, is how Unmanned Life’s capabilities will turn this futuristic vision into reality. To this respect, Unmanned Life enables industries to be fully autonomous through its full stack AI for autonomy software platform, that deploys and manages coordinated and interoperable swarms of unmanned ground vehicles, aerial vehicles and other robotics systems through a single unified management interface, whether on-premises, over the cloud or on the Edge. In other words, Unmanned Life’s AI on the Edge platform capabilities enables industry 4.0 use cases across industrial sectors such as supply chain & logistics, public safety and transport management, to name a few. In other words, Unmanned Life is one of the main missing links in the chain that unlocks the full potential of Smart Cities around the world. Its software platform is a bridge connecting technologies such as 5G, Edge computing, and AI to offer the necessary capabilities fuelling Smart Cities development, especially in two areas: Supply chain/Logistics & Telecoms.
In the supply chain area, Unmanned Life’s capabilities go in line with Smart Cities requirements by offering ‘Industrial automation’ use cases that disrupt the traditional logistic processes into more cost-efficient, connected and scalable processes. The logistics’ market is set to increase from USD 43.9 Billion in 2017 to USD 85 Billion in 2023, with a strong 12.9% CAGR, suggesting multiple growth opportunities for Unmanned Life to tap into this market. Some of the use cases enabling industrial automation that Unmanned Life could offer are ‘Autonomous Pop-up parcel sorting’, ‘Autonomous multi-agent inventory management’ and ‘autonomous fleet based last mile delivery’.
Nevertheless, the area in which Unmanned Life would make the most disruptive impact is the Telecom area, where connectivity-based use cases are a predominant aspect to unlock the potential of smart cities. Our ‘Autonomy-as-a- Service’ software platform associated with 5G, Edge and cloud capabilities enable Industry 4.0 use cases and tap into a market that will reach USD 717.2 Billion by 2023, with a CAGR of 18.4%. Smart Cities place incredibly weighty coverage demands on networks. As people and businesses grow increasingly connected to each other and technology through IoT, public and private organizations need to invest wisely in firms that bridge cyber-physical systems, IoT devices and infrastructure through connectivity, resulting in the fourth industrial revolution.
In fact, Unmanned Life fits perfectly in this value chain by offering an AI-driven software platform that enables cities to become smarter by disrupting traditional urban operations into more efficient, connected and socially responsible operations. Connectivity-based use cases—Also referred to Telecom use cases, that Unmanned Life offers are primarily aimed at improving public safety operations, urban surveillance and better connectivity.
Some of Unmanned Life’s use cases that will empower Smart Cities are given as follows:
• Emergency Response
Deployment of AI-driven swarms of autonomous drones to be quickly sent to the location of the alert and provide real-time imagery of the situation to the command centre. This enables operators to have a quick and efficient understanding of the situation, whilst considerably reducing the operation costs (i.e. No need to send a helicopter) and improving the mobility and reaction time. As a result, more lives will be saved whilst lowering running costs for emergency providers and improving public safety in general.
• Search & Rescue
Deployment of AI-driven swarms of autonomous drones providing flexible, re-locatable and on-demand connectivity solution in hard to reach areas for search and rescue deployments. This use case enables reliable connectivity and communication between the control centre and deployed personnel for a rescue operation. Further, autonomous drones greatly improve public safety by providing first aid kits that will help save more lives, especially in the so-called ‘golden hour’.
• Ad- Hoc connectivity
Deployment of AI-driven swarms of autonomous drones providing connectivity anywhere in remote and/or crowded areas. Unmanned life’s autonomous drones are embedded with cell solutions enabling them to become signal sources through 4G LTE and 5G. The use case is very much flexible, extensible, re-locatable, on-demand and does not require any expensive fixed infrastructure.
• Public Safety
Deployment of AI-driven swarms of autonomous drones providing real-time imagery surveillance of busy events and manifestations, becoming an integral part of smart cities’ infrastructures and inspection practices. Unmanned Life’s solution is cost-efficient and fast to deploy in opposition to traditional solutions, it could also operate in integration with telecom towers to provide a truly on-demand service or else in a continuous way for 24/7/365.
• Industrial/Urban security
Deployment of AI-driven swarms of autonomous drones providing continuous surveillance of industrial perimeters with real-time imagery and thermal sensors enabling 24/7/365 surveillance of risky infrastructures and industrial areas (i.e. Nuclear plants). The use case could also serve as first response team streaming situational awareness for back security centres for tall structures (i.e. Electric towers) in public areas where surveillance and traffic management is required (i.e. Airports) and finally in industrial areas where high-quality inspection and maintenance are required (i.e. Energy and Gas).
In fine, Unmanned Life possess the necessary technology and capabilities to be the link between ‘Smart Cities’, Industry 4.0, 5G and Edge Computing. As the world’s first ‘AI for Autonomy’ software platform enabling industry 4.0 use cases across a large spectrum of industries, Unmanned Life needs to assume its role of pioneer in AI and Autonomy by turning the futuristic vision of smart cities into a reality.