Smart BHS Solutions, Smarter Airports

In the age of hyper-connected aviation, the baggage handling system (BHS) is no longer just about conveyor belts and barcode scanners. With over 4 billion bags processed globally each year, even minor inefficiencies can ripple into major operational setbacks. 

At the heart of this transformation is Leonardo SpA, one of the world’s leading aerospace and defense companies, which is shaping the next generation of intelligent baggage handling systems. Luca Tripaldella, Head of Business Development at Leonardo, unpacks the major technological and governance shifts defining this space.

Real-time intelligence for real-world complexity

Modern BHS solutions are increasingly reliant on real-time sensor data, AI-driven routing, and predictive maintenance. 

“Our systems respond dynamically to operational variables—line loads, bottlenecks, unexpected flight delays—while optimizing energy consumption,” says Tripaldella. 

Leonardo’s machine vision technology takes this further by identifying damaged bags, reading tags even when information is incomplete using OCR, and applying advanced object detection for conveyability checks. This shift toward automation enables airports to maintain high levels of reliability and throughput even during peak traffic periods.

A hybrid path forward

Despite the appeal of full-scale modernization, most airports face the hard reality of integrating AI-driven automation with legacy infrastructure. 

According to Tripaldella, the smartest airports are using a hybrid model—phasing in AI modules and smart middleware rather than going for expensive, disruptive overhauls. “Retrofitting existing systems with smart sensors and digital bridges ensures continuity while reducing financial strain,” he explains. 

But challenges remain: outdated programming languages, limited API support, and hardware constraints often make integration complex. Leonardo addresses this through digital twin simulations and edge computing strategies, allowing real-time data processing without straining existing central systems.

Eliminating human error

One of the standout capabilities of AI-powered BHS is the use of computer vision to reduce human error. Leonardo’s systems are trained to identify baggage by barcodes, RFID, OCR, and even by shape or color—enhancing sort accuracy and providing an added verification layer. This not only improves operational efficiency but also enhances customer service. 

“When passengers can track their bags in real time through airline apps, thanks to API integration, the experience becomes transparent and reassuring,” Tripaldella notes. 

These features are crucial in minimizing misrouted baggage and maintaining chain-of-custody logs accessible to all stakeholders.

Guarding data in the age of biometrics

As biometric-enabled baggage drop-off becomes more common, so does the scrutiny over data privacy. Airports must walk a fine line between seamless service and responsible data governance. Leonardo ensures compliance with global frameworks like GDPR and CCPA by embedding “Privacy by Design” into all AI tools. 

“We prioritize data anonymization, encryption, and informed consent mechanisms,” says Tripaldella. Emerging international standards—like IATA’s One ID—are also guiding best practices, promoting interoperability while maintaining passenger rights. 

“Transparency, algorithmic accountability, and auditable AI are non-negotiables for ethical implementation,” he adds.

Building resilient, scalable ecosystems

Behind every intelligent BHS lies a vast network of collaborators—from airports and airlines to tech partners and regulators. Leonardo is actively working with global bodies like IATA, ACI, and ICAO to shape interoperable systems governed by shared standards. Open API-based architectures support plug-and-play scalability, allowing rapid deployment across varying airport ecosystems. 

To safeguard resilience, Leonardo employs zero-trust cybersecurity frameworks, blockchain-led audit trails, and real-time threat intelligence sharing. “Cyber-resilience simulations are becoming routine practice,” Tripaldella says. “It’s not just about operational uptime—it’s about building digital immunity.”

The Future Is Modular, Predictive, and Ethical

As airports worldwide scale up to handle booming passenger numbers, baggage handling is evolving from a backend necessity to a front-line differentiator. From biometric bag drops and smart sortation to ethical data usage and AI-enhanced maintenance, the future is not just fast—it’s intelligent.

Luca Tripaldella sums it up, “AI isn’t just improving efficiency—it’s redefining what reliability, security, and passenger trust look like in modern aviation.”