DeepX

Anomaly detection

Computer Vision in Food Sanitisation Monitoring

An auditor asks a production team to prove the sanitisation cycle ran correctly on a specific line, on a specific night. In most facilities, the answer is a signature on a checklist. Facilities processing meat, dairy, or ready-to-eat goods must … Read More

Airport AI Technology at the Gate 

On 4 June 2026, a Boeing 787 came to rest on its nose at a Frankfurt airport gate after its forward landing gear gave way during turnaround preparation. No passengers were aboard, and investigators are still working to establish the … Read More

Flare Stack Anomaly Detection Software

Why flare stacks resist easy answers A flare stack is not a static object. Flame shape, color, and behavior shift constantly, driven by pressure swings, gas composition, wind, and temperature. That variability is what makes monitoring difficult. Traditional threshold-based systems … Read More

Denver Breach Exposes Airport AI Security Gaps

On the evening of May 8, 2026, a serious incident involving Frontier Flight 4345 occurred at Denver International Airport after a person reportedly breached the airport perimeter and accessed the runway area. We extend our deepest condolences to everyone affected, … Read More

Workflow Monitor for Operations

Nobody notices a process failing. They noticed the delay it caused three days later in a report. Supported by intelligent workflow automation, it enables real-time monitoring, helping teams maintain procedural compliance and achieve strong operational efficiency. Without these capabilities, delays, … Read More

AI safety in autonomous driving systems

Safety debates around autonomous driving often drift into broad claims about whether AI can be trusted. That framing misses the real engineering issue. In practice, many failures come from limits in perception, edge case handling, and system design under degraded … Read More

Multimodal Learning for Medical Images

Positioning in the research landscape A model that says malignant without saying where a model no radiologist will sign their name under. For such large and complex data, model predictions must be accurate and interpretable.  Earlier research published on arXiv … Read More

AI-Powered Working Zone Management

Understanding Challenges on Worksites By the time a zone falls behind schedule, the reason it fell behind happened two days ago, and nobody wrote it down. Without clear visibility, tasks can fall behind, and productivity declines. Standard tracking methods, such … Read More

Why Privacy in Video Intelligence Matters

Video analytics and computer vision are moving into daily use. Leaders want real-time detection with fewer false alarms. Security teams want anomaly detection that surfaces the one clip that matters. Policymakers want safety without constant surveillance. In February 2026, Chico … Read More

airport1

Using AI to Improve Airport Safety

Introduction Airports are complex environments where passengers, vehicles, and ground crews operate simultaneously. Ensuring physical safety monitoring and effective risk prevention is essential to reliable operations. Traditionally, CCTV video analytics and standard camera systems were used mainly for observation and … Read More