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How Linde Advances Fleet Safety with Smart Eye’s AIS

Case Study28 October, 2024

Linde’s adoption of Smart Eye’s AIS system underscores the company’s forward-thinking approach to fleet safety, setting a strong example for the industry in safeguarding both drivers and communities on the road.

“Safety is a top priority at Linde and above all, we aim to make sure our drivers get home safe at the end of the day. Based on our thorough evaluation, including extensive field testing, Smart Eye was the best choice for us.”

— Elias Chowdhury, Transport Safety Manager for Europe North at Linde

The Customer

Linde, the world’s largest industrial gas company, is recognized globally for its commitment to safety and operational excellence. With a vast fleet of heavy vehicles covering extensive routes worldwide, Linde continually seeks to elevate safety standards for its drivers and ensure the security of its operations.

The Use Case

To address the heightened risks associated with long-haul driving, Linde implemented Smart Eye’s AIS driver support system across its fleet in the Nordic and Baltic countries. AIS, powered by advanced AI algorithms, actively monitors driver alertness levels, detecting early signs of fatigue and inattention.

These capabilities are essential for fleet operators, as the demands of professional driving often increase drowsiness and distraction, particularly during long shifts and in challenging driving conditions. Through rigorous field testing, Linde found AIS to be the ideal solution for enhancing driver vigilance and safeguarding its fleet.

The Results

With AIS installed in its fleet, Linde benefits from a proactive safety system that helps drivers stay attentive and mitigates risks before they escalate. The real-time monitoring features provide timely alerts, ensuring that drivers are supported in maintaining focus, thereby reducing the likelihood of incidents on the road.

This implementation reflects Linde’s commitment to operational safety and demonstrates how Smart Eye’s technology holds up in demanding, real-world scenarios.