Blog

65+ Airports using WildFaces' Autonomous AI Systems

Airports in the US, Turkey, Malaysia and beyond are using WildFaces' Autonomous AI to manage passenger flow, detect threats, and streamline operations, all with their existing camera infrastructure. 

✔ Multi-Sensory Predictive maintenance on the tarmac
✔ Traffic and parking management outside the terminal
✔ Abandoned bag detection, even in crowded areas despite 
   of significant passenger movement Anonymized Facial 
   Tracking to find missing people
 

Read the full blog here.
 

Turn Your CCTV Infrastructure Into a Cost-Saving Video Utility

Most cities run CCTV like private power generators, separate systems for every department. WildFaces' Video Utility flips that model. It’s a centralised, intelligent platform with built-in privacy & security where each department gets access only to what they need and pays only for what they use.

✔ Reduce CCTV infrastructure costs by 20X

✔ Reduce storage & bandwidth by 90%

✔ Eliminate camera duplication &
   maintenance costs

No need to replace your infrastructure. Just make it work smarter to achieve operational efficiency.

Read the full blog here.
 

Follow us on LinkedIn

As WildFaces continues to drive innovation in AI and smart cities, we encourage you to stay connected with us. Follow our LinkedIn page for the latest updates, industry insights, and future projects. Join our growing community and be part of the journey as we shape the future of intelligent technology.

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About WildFaces:

WildFaces’ patented “On-The-Move” Artificial Intelligence (AI) based analytics system, WildAI, provides video, sound and smell analytics from moving sensors/ cameras on drones, moving robots and body-worn cameras. Such systems have been implemented on numerous government and commercial sites worldwide.

Applications range from anonymized tracking (with privacy protection) and traffic congestion management to sound and smell analytics.

WildAI requires minimal training, is computing light (does not require GPUs) and can be deployed very quickly. It:

• Operates in real-time even when the sensor is “On-the-move”.
• Requires little data training – no labelling, no deep learning
• Is infrastructure light – fewer cameras required
• Is computation light

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