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Scientists Discover Way to Send Information into Black Holes Without Using Energy

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Student Engineers Achieve World-First in ‘Blockchain Black Box’ for Drones, Paving Way for Safer Autonomous Systems

A team of student engineers at the University of Southampton has achieved a world-first breakthrough that could set a global standard for trust in autonomous systems. In a live flight demonstration, an autonomous drone successfully recorded its operational and sensor data in real time onto a blockchain, creating a secure, tamper-proof record of its activity.

This innovative blockchain verification system functions like a digital “black box,” ensuring that every action the drone takes can be independently verified. Using the Minima blockchain protocol, the system stores flight data on a secure digital ledger. Every device in the network runs a full blockchain node. While the data is stored locally on each device, everyone on the network can confirm the accuracy of the recorded information, making it virtually impossible to tamper with.

As artificial intelligence (AI) and autonomous systems become more common in everyday life, regulators, insurers, and the public are increasingly demanding proof that machines operate safely and as intended. Until now, most autonomous systems have relied on cloud servers or central databases to record activity. This approach depends on stable connectivity and external oversight.

The Southampton demonstration proves that intelligent machines can independently create secure records at the point of action, even under challenging real-world conditions. This is the first time a full verification system of this kind has been deployed during live autonomous flight on hardware with such strict power and processing constraints.

Real-World Testing in a High-Stress Environment

The student engineering team, led by Yi Cherng Tan, deliberately chose a drone to test the system. Flight places extreme pressure on onboard computing systems due to vibration, constant movement, limited battery power, and variable signal strength. Despite these challenges, the blockchain verification system remained fully operational throughout the mission.

Tan said, “The test was a huge success. It’s been fantastic to work with industry partners like Minima on cutting-edge technology that could play a huge role in shaping how the Internet of Things and other next-generation technologies progress.”

One of the project’s key breakthroughs was demonstrating that Minima’s compact blockchain can run directly inside a microprocessor system-on-chip (SoC). By moving the technology from software to hardware, the team achieved a 500x performance improvement and energy efficiency gains of up to 10,000%. This opens the door for blockchain security to be embedded directly into everyday autonomous machines.

Wide-Ranging Applications Beyond Drones

The success of this system has implications far beyond drones. Future applications include:

  • Autonomous vehicles that generate verifiable driving records.

  • Industrial robots that can prove compliance with safety standards.

  • Energy systems that provide transparent operational data.

  • Defence platforms that maintain secure audit trails.

The same blockchain approach can also be applied to AI systems, providing transparent logs of how decisions are made. The Integritas platform, developed as part of the project, timestamps data on the Minima blockchain, making it searchable and providing proof of accountability for regulators, auditors, and businesses. This capability aligns with the EU AI Act, which comes into effect this year and requires clear demonstration of AI system decision-making.

By combining advanced hardware engineering with secure, distributed verification, this work positions the United Kingdom at the forefront of an emerging global field focused on trusted infrastructure for autonomous and AI-enabled technologies.

Embedding Trust Directly Into Machines

As governments around the world develop frameworks for AI safety and machine accountability, the ability to embed secure proof directly into devices may become a defining standard for future regulation.

Dr Ivan Ling, project supervisor at the University of Southampton, explained, “This project shows that trusted verification can move from remote servers into the hardware of autonomous machines themselves. As intelligent systems become more common in public and industrial environments, the ability to independently prove what a machine has done will become essential for safety and public confidence.”

Adam Feiler, Head of Partnerships at Minima, added, “Running a full verification system on low-power hardware during live drone flight is a major milestone. It demonstrates that secure decentralized technology can operate directly within autonomous systems, not just in data centers.”

Paddy Cerri, Chief Architect at Minima, emphasized the practical significance: “Operating reliably under strict power limits and changing connectivity conditions shows that distributed verification can work in real-world autonomous environments. This opens the path toward embedding secure verification into the next generation of connected devices.”

Student-Led Innovation with Industry Collaboration

The project was completed within a single academic semester by the student team, demonstrating both innovation and speed. The collaboration combined academic research with expertise in distributed systems and semiconductor design, working alongside global industry and chip technology leaders including Arm and Siemens.

Following the successful flight trials, the research and industry partners are now working to advance the technology for broader deployment across autonomous systems, industrial IoT applications, and secure machine-to-machine communications.

A Glimpse Into the Future of Autonomous Technology

The demonstration is more than just a successful drone test. It signals a future where intelligent machines do not merely perform tasks—they can prove what they have done, providing transparency, accountability, and trust. In the near future, consumers, regulators, and businesses may come to expect that every autonomous system, from self-driving cars to industrial robots, carries its own secure “black box,” recording and verifying its actions in real-time.

By moving blockchain verification from centralized servers into the heart of autonomous hardware, the University of Southampton’s student engineers have set a new benchmark for reliability and safety in intelligent systems. Their work exemplifies how hardware innovation, distributed verification, and student-led research can intersect to create technologies that not only function but earn trust, shaping the next generation of autonomous and AI-enabled machines.

This achievement underscores the growing importance of combining secure, distributed digital systems with real-world autonomous hardware. As AI and autonomous technologies continue to proliferate, the ability to independently verify machine actions will become a cornerstone of safety, accountability, and public confidence worldwide.

The blockchain black box for drones demonstrates that the future of autonomous systems is not only intelligent but also transparent, reliable, and accountable—a world-first achievement driven by the creativity and expertise of student engineers pushing the boundaries of what’s possible.

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