OUR SUCCESS STORIES
Our success is rooted in our passion, dedication, and commitment to quality. By collaborating with prominent companies in the industry, we have successfully deployed our solutions on a global scale.
How can enterprises protect their key assets without high operational expenditure on manual security solutions, or inflexibility of fixed solutions?
For the past 9 months, Telefonica has been deploying drone swarms to do exactly this at their headquarters in Madrid. Powered by the Unmanned Life platform, operators select a flexible area to survey via the interface at the command centre, and the mission is autonomously launched.
The 5G-enabled drones’ stream real-time video, which is enhanced by artificial intelligence on the edge for the detection of unauthorised persons at the site. The operator can then act swiftly and mitigate the consequences of the intruder.
The mission is being deployed in a highly complex environment due to its proximity to Madrid airport, Madrid’s metropolitan area, and heliports. The solution is pioneering, being the first corporate headquarters at a national level to obtain relevant authorisations to deploy an autonomous drone solution.
The autonomous drone surveillance project with TELUS was deployed in two phases and demonstrated state-of-the-art security solutions in the vertical.
Unmanned Life deployed two autonomous drones, augmented with thermal imaging, on autonomous surveillance missions. The drones were 5G-enabled, having the ability to stream this real-time video, and the platform was integrated into a leading video-aggregation tool to securely store and process the feed. Not only this but AI for person-detection was run in the backend, compatible with both thermal and light images. All information was relayed directly to the control centre, where the operator would be able to take necessary mitigation actions. The solution was deployed day and night, paving the way for efficient and proactive drone solutions worldwide.
5G Logistics is a UK marquee R&D project, hosted in Bristol Port, to develop new technologies in the Smart Ports sector that utilise an underlying 5G private network and edge computing.
There were two key use cases that Unmanned Life’s orchestration platform performed:
Security Surveillance: A swarm of drones, augmented with 5G, and AI for person detection, performed surveillance of the port perimeter, highlighting any intruders on the interface. This was performed ad-hoc, or on a timer.
Tracked Asset Response: Unmanned Life’s platform was integrated into an RFID-based system in the port. Simply, when assets are being loaded/unloaded without authorisation, our platform is notified, and a drone is triggered to autonomously fly to the precise location. By providing a bird’s eye view of the affected asset, the port can be kept situationally aware, prevent asset theft, or improve logistical processes.
The goal of the project was to create an autonomous search and rescue solution which brings together state-of-the-art technology such as automatic drones, artificial intelligence, 5G and Edge computing enabling a more scalable and efficient solution to assist the fire and rescue department in helping the people of Vienna.
Once the mission was launched by the first responders, the platform segmented the incident zone, and two autonomous scouting drones were launched. The live video feed from the drones streamed to the interface over Magenta’s network, was overlaid with artificial intelligence for person detection, inciting a response from the platform when the individual was spotted in the river. An immediate response was set by the platform; to launch a heavier-duty drone carrying a life jacket, which was released beside the victim.
Not only does the solution demonstrate the end-to-end nature of search and rescue, but it shows the benefits to existing responders through heightened situational awareness, safer response mechanisms, and faster rescue.
In this project, Unmanned Life demonstrates a kit consisting of a drone and a compact control device, which can fly in a confined space simulating a warehouse. The drone flies along the racks, identifies individual boxes and reads the QR codes attached to them to create a virtual map of all the goods in the racks with their identification and position.
The deployed indoor inventory management utilises edge computing to demonstrate the future benefits of the technology. Simply, by locating the computational power required for image recognition of boxes at the edge of the network, we can off-load data analysis, moving away from a physical unit on the device, and therefore reducing the weight of the drone, increasing flight times.
The underlying capabilities of this use case will pave the way for scaled fleets of drones in the near future, whilst also demonstrating the benefits of the platform in an indoor, inventory management environment.
The goal of this project was to demonstrate autonomous drone-based inspections of cell towers in a safer, faster, and more cost-effective way than current manual processes.
Unmanned Life’s platform orchestrated and deployed the autonomous mission for the drone, including complex pathing which maintained distance for optimal imaging. 4G LTE and a high-definition camera were both utilised and provided the means to capture stable photos throughout the mission.
Following the deployment, the collected image data was transferred to a third-party platform, MYX Robotics to create a digital twin of the towers.
This deployment demonstrated the scalability of the use case through automation, the efficiency of using drones as data-capture methods, and the benefits of integration to the third-party AI systems for end-to-end processes.
GOF 2.0 is an EU Leading R&D project involving key industrial players acting in the developing of the European drone ecosystem, showcasing the technical means to enable the exchange of digital information in support of collaborative management of UAM operations and remote provision of U-space/ATM services
The role of Unmanned Life is to define and implement interfaces and mechanisms by which simulated data for both manned and unmanned flights can be injected into the GOF2.0 systems. Simulated aircraft will be used to augment select scenarios, demonstrating the benefits of autonomous flights and their connection with Unmanned Traffic Management systems. The results we already see, and hope to continue to observe, will pave the way for autonomy, and safe, efficient regulation around Europe.
5G!Drones is an EU program to deploy 5G-enabled autonomous drones-powered use cases around Europe. The EU has selected Unmanned Life’s 5G standardized architecture and software technology as the project’s default architecture and platform for operating commercial autonomous drone services.
The purpose of this scenario is to demonstrate the benefits of 5G from autonomous drone deployments, whilst testing 5G connectivity. A series of network tests, run from the drones themselves, will show the available bandwidth and latency that 5G generates.
Validating these 5G networks is important, as 5G allows smooth operations for our fleet management capabilities. Unmanned Life uniquely offers the integration and fleet management of a mixture of autonomous drones and robots, and the ultra-reliable low latency communications (uRLLC) allow the seamless orchestration. As well as this, the high-capacity nature of 5G allows us to control robotic swarms, which were previously unavailable on lower capacity 4G, unlocking scalability for exponential growth.
This landmark EU R&D Industry-wide project with leading industrial players demonstrates how 5G connectivity improves the productivity of industrial and manufacturing processes, in the intralogistics space with Autonomous Mobile Robots to test and deploy indoor logistics use cases using a fleet of AMRs. This project is showcasing the need for 5G connectivity for advanced Industry 4.0 solutions for large-scale swarms of robots.
Unmanned Life is collaborating with an industrial robotics partner in developing a NetApp that will allow an autonomous mobile robot fleet to localize in indoor environments and use a centralized command centre to deploy these assets over 5G and EDGE infrastructures for a logistics-based use case in a Factory of the future setting.
