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WildFaces' Predictive Maintenance AI works without Deep Learning & GPUs

1. WildFaces' Predictive Maintenance AI works without Deep Learning & GPUs

2. Automated Monitoring of Plant Rooms

The challenge with most equipment, and especially with new equipment, is that usually there is insufficient data to understand how and when it will break down. Traditional Deep Learning based Generative AI requires tens of thousands of data sets for training the system and often such historic data is just not available.

WildFaces' Predictive Maintenance system does not require large data sets. Using minimal real time multi-sensory data it can establish if the equipment is working within established parameters and can provide early warnings if it deviates from the norm.

The system can determine if a product or machine has a defect.

A conveyor belt emanates a general hum during normal operations. If it is about to breakdown, the sound pattern will begin to change and this will be picked up by our system.

A gas may start leaking. This can be detected both with video and with our smell system.

In every case our Intuitive AI looks for clues on the equipment varying from the norm to prevent a breakdown before it happens. With its proprietary QUICK Training engine that requires only 10 datasets to train up a new AI Model, WildFaces' Multi-Sensory Solution can deliver AI projects quickly, without the need for massive training and hence without a requirement for GPUs, substantially reducing costs and minimizing the system’s carbon footprint.

Come & see WildFaces' Predictive Maintenance System LIVE at the upcoming Smart City Expo in Kuala Lumpur (booth # 2201 & at the Joint Lenovo booth # 4306).

Automated Monitoring of Plant Rooms

Many large buildings, airports and other similar facilities have large plant rooms which are not continuously monitored.

On a schedule, a human operator might go there to record the readings and check for anything that is unexpected. This can be a problem for remote facilities which are difficult and expensive to access. The challenge with this approach is that:

• Equipment could have a problem in the intervening period when these is no one around.
• It is easy for human error to creep in especially when large numbers of meters (especially analog ones) are being read

WildFaces' Continuous Monitoring System can read all the meters – even analogue ones – continuously just by watching them with a camera. 

It can raise alarms if the readings are outside of predetermined parameters allowing for a fast response when something goes wrong.

At a major port in Asia such a system has prevented a disaster by raising an early warning for a major piece of equipment that had malfunctioned. 

At a Water Utility in the Middle East, they became aware that the person who used to go around taking readings had been lazy and was falsifying his recordings.

Now you can automatically monitor and manage all your remote equipment without leaving your desk.

See WildFaces LIVE at Smart City Expo Kuala Lumpur 

Click HERE to register

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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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