March 13, 2025 – Global technology leader Honeywell (NASDAQ: HON) today announced a groundbreaking collaboration with Corvus Robotics to integrate its revolutionary SwiftDecoder barcode software into the Corvus One™ autonomous inventory drone system. This innovative solution is set to transform traditional warehouse operations, enabling real-time case/pallet-level tracking for retailers, distributors and manufacturers while improving accuracy and reducing inventory counting time by up to 70%.

Converging Technologies Set New Industry Benchmark

The partnership represents the first deep integration of two cutting-edge technologies in warehouse automation:

• Honeywell's SwiftDecoder achieves breakthrough batch-scanning capability, simultaneously capturing up to 20 barcodes
• Corvus Robotics' proprietary onboard AI vision system delivers centimeter-level 3D spatial positioning

The combined solution performs fully autonomous inventory checks without GPS or human intervention, maintaining 99.8% identification accuracy even in extreme conditions like 10-meter-high racks and low-light environments.

Addressing Critical Industry Challenges

"Traditional warehouses face three core pain points: 30% inventory discrepancy rates, 65% workforce wasted on repetitive counting, and supply chain disruptions caused by data latency," stated Corvus Robotics CEO Jackie Wu. "By combining Honeywell's 25 years of warehouse digitization expertise with our autonomous flight technology, clients can now achieve real-time counting of 200+ cases per minute."

David Buck, President of Honeywell Productivity Solutions and Services, emphasized: "This solution directly addresses the global supply chain labor shortage. Field tests demonstrate enterprises can achieve:

√ Inventory accuracy boosted to 99.5%+

√ Counting efficiency increased by 400%

√ Labor costs reduced by 45%

This will become critical infrastructure for supply chain digital transformation."

The Future of Smart Warehousing

The SwiftDecoder-equipped Corvus One™ system exhibits three disruptive advantages:

1. Full-scenario adaptability: Maintains stable performance in darkness, haze and other extreme conditions via multispectral sensing
2. Real-time decision support: Reduces data-to-visualization latency to under 5 seconds for dynamic replenishment
3. Self-evolving system: Continuously optimizes flight paths with 3% efficiency gain per mission through machine learning

Currently in pilot evaluation with Walmart, Amazon and other industry leaders, the solution is expected to achieve commercial scale by Q4 2025.