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JUST CHOOSE.

WITH 4DIGITAL AICE

YOU DON'T NEED TO PREDICT THE FUTURE.

Bringing processing and decision-making closer to the operation.

We solve security, productivity and efficiency problems at the edge before they exist, with our sophisticated Artificial Intelligence Context Engine that runs in floor plant where real-time processing, latency, efficiency and data privacy are the only way to run business.

Our EDGE AICE Technology is an evolution in the implementation of artificial intelligence that seeks to bring processing and decision-making closer to where the data is generated, allowing you to act before problems occur.

4DIGITAL AICE

We solve security, productivity and efficiency problems at the edge before they exist, with our sophisticated Artificial Intelligence Context Engine that runs in floor plant where real-time processing, latency, efficiency and data privacy are the only way to run business.

Our EDGE AICE Technology is an evolution in the implementation of artificial intelligence that seeks to bring processing and decision-making closer to where the data is generated, allowing you to act before problems occur.

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Context - Recognition

Using advanced computer vision algorithms, AICE verifies PPE presence and detects behavior deviations, such as non-compliance with safety protocols. It issues alerts and adapts responses based on the specific context, preventing accidents and improving overall operational safety.

Deviation - Monitoring

AICE identifies deviations from safety protocols and operational norms and adapts its response based on the deviation context, ensuring a balance between safety and productivity objectives. Overall, it creates safer, more efficient work environments.

AICE triggers alerts for safety breaches, such as unauthorized access or equipment malfunctions, ensuring a safe work environment. Simultaneously, it analyzes productivity metrics to optimize processes and resource allocation, minimizing downtime. 

Real-time Productivity

Run AI Directly On the Edge

Out patent pending technology PCT/CL2024/050038 run Artificial Intelligence algorithms directly on the Edge devices, where operational data is collected, instead of sending all that data to a centralized location for processing in the cloud.

 

This allows faster processing of information, more immediate decision making, and reduces reliance on constant network connectivity. The development has been supported by the Qualcomm India Teams and Thundercom (hardware integrator).

Inventory - management

By optimizing inventory levels and streamlining procurement processes, AICE minimizes disruptions and improves workflow efficiency, contributing to overall productivity. This synergistic approach fosters a safer, more efficient work environment, promoting both employee well-being and organizational success.

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