Human level perception on
embedded
hardware

LGN

Achieving human level perception on embedded hardware is a major challenge for autonomous systems.

LGN delivers edge AI technology that helps autonomous systems see like humans on embedded hardware.

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Process high resolution sensor data with less power and compute

More intelligently

Focus your down stream processing on the important information

With less

Achieve high resolution imaging with an array of low cost sensors.

Unlock higher levels of autonomy

For autonomous vehicles to drive fast and reach high levels of autonomy they need to process an increasing number of high resolution sensors. This leads to increased compute cost and power consumption.

LGN boosts the resolution of lower cost sensors and optimally compresses sensor output for downstream machine learning. This reduces chip cost and power consumption whilst allowing high level autonomy on lower cost commodity sensors.

Aerial view of a futuristic car

Unlock higher levels of autonomy

For autonomous vehicles to drive fast and reach high levels of autonomy they need to process an increasing number of high resolution sensors. This leads to increased compute cost and power consumption.

LGN boosts the resolution of lower cost sensors and optimally compresses sensor output for downstream machine learning. This reduces chip cost and power consumption whilst allowing high level autonomy on lower cost commodity sensors.

Smart buildings

Improve smart building security systems using facial and credential recognition.

Autonomous retail

Boost in-store detection systems for automated shopping and loss prevention.

Satellites

Optimise compression and transfer of satellite imaging and communications.

Request more information

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Contact

London, UK

Tel: +44 (0)20 3488 2138 +44 (0)20 3488 2138
Email: [email protected]

Cylon, 27 Hammersmith Grove, London W6 0NE

West Midlands, UK

+44 (0)1743 612 006 +44 (0)1743 612 006

Old Grammar School House
School Gardens, Shrewsbury SY1 2AJ

University of Zagreb, Croatia

Faculty of Electrical Engineering and Computing

Unska 3, HR-10000 Zagreb, Croatia