AI Vision Technology Slashes Port Gate Dwell Times to Under 30 Seconds as EAIGLE Posts 350% Growth

## AI-Powered Gate Automation Delivers Dramatic Efficiency Gains at Port Facilities Artificial intelligence is reshaping port gate operations, with computer vision specialist EAIGLE reporting 350% year-over-year growth as its technology demonstrates measurable results at live facilities, according to FreightWaves. The company's platform reduces gate dwell times to under 30 seconds — a significant improvement over traditional manual processing, which can take several minutes per vehicle and create bottlenecks that ripple through terminal operations. For high-volume container facilities, gate congestion remains one of the most persistent sources of operational inefficiency, contributing to truck queuing, driver delays, and increased port-area emissions. ### Leveraging Existing Infrastructure A key differentiator in EAIGLE's approach is its ability to work with a facility's existing security camera network rather than requiring costly hardware overhauls. CEO Amir Hoss, speaking to FreightWaves during an on-site visit at a live facility, explained that the company's computer vision algorithms are layered onto cameras already in place, automating gate processing, yard tracking, and dock workflows without significant capital expenditure from terminal operators. This infrastructure-agnostic model lowers the barrier to adoption — a critical factor for port operators and logistics facilities evaluating AI investments in a cost-conscious environment. ### Why This Matters for the Industry Port gate automation has gained urgency in recent years as container volumes fluctuate and labor costs rise. Automated gate systems that can process license plates, container numbers, seal verification, and driver credentials in seconds reduce the need for manual gate clerks while improving data accuracy and security compliance. EAIGLE's reported growth trajectory suggests strong market demand for solutions that deliver rapid return on investment without requiring terminal operators to replace existing infrastructure. The company's expansion comes as ports and inland freight facilities across North America continue to invest in digitisation and automation to improve throughput and resilience. With supply chain visibility and terminal efficiency remaining top priorities for shippers and logistics providers, AI-driven gate automation platforms are increasingly moving from pilot programmes to full-scale deployment — a trend EAIGLE's growth figures appear to reflect. *Source: FreightWaves*