Advancing Sensor Integration

Ommatidia LiDAR’s Breakthrough in the PERTE VEC – TESIS Project

Advancing Sensor Integration AI is crucial for the future of autonomous driving. Last week, Ommatidia LiDAR reached a major milestone in the PERTE VEC – TESIS project by successfully conducting the first driving tests with the ANT™ sensor testing platform. This cutting-edge vehicle-mounted system evaluates real-world LiDAR, radar, and camera performance, ensuring smooth integration within the autonomous vehicle ecosystem. By combining multiple sensor technologies, we are setting new standards in AI-driven perception and data processing.

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Ommatidia LiDAR

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Project LiDAR-AR Mining Optimizer

LiDAR-AR Mining Optimizer unites laser radar, AR, and AI, providing precise monitoring and operational safety.

As industries evolve, the demand for innovative solutions to enhance safety, efficiency, and sustainability grows exponentially. The groundbreaking LiDAR-AR MINING OPTIMIZER project, a joint venture between Ommatidia LiDAR and Tensor Consultores, is setting new standards in structural health monitoring and vibration analysis equipment. This project integrates advanced Fr...

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Unique Photonic Circuits Power Ommatidia’s Parallel Laser RADAR

World's First PIC-based Massively Parallel FMCW Laser RADAR brings the long-awaited revolution in vibrometry & 3D metrology

In today’s fast-evolving world of measurement tools, achieving accuracies within tens of microns and efficiently scanning large, complex structures has become essential for industries like automotive, aviation, and civil engineering. To address the growing demand for faster and more precise vibrometers and metrology scanners, Ommatidia has developed the world's first mas...

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Laser RADAR for Power Transformer Certification and Maintenance

Enhancing Transformer Reliability: The Power of Non-Contact Vibration Analysis

Ensuring the health of large power transformers is vital for the stability and efficiency of electrical power systems. Traditional methods of vibration analysis, which involve attaching sensors directly to the transformer's surface, have been widely used to monitor transformer health. However, these contact-based methods come with challenges such as labor-intensive senso...

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Q1S - Static Laser RADAR

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