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When vision fails, we begin

Turning the limits of vision into
opportunities

Turning the limits of vision into opportunities

Thanks to our patented silicon surface texturing combined with AI algorithms, we reveal the invisible in environments where conventional imagers are blind: ultra-low light, extreme conditions, space or cost constraints.

Each application comes with its own constraints: sensor type, lighting environment, image processing requirements, or performance goals. Rather than imposing a one-size-fits-all solution, we adapt our technology to meet real operational needs.

Our approach ensures optimal integration—whether in a miniaturized medical device, an automotive cockpit, or a rugged terminal for extreme environments.

Sensor type used

(CMOS, CCD, specialized sensors)

Sensor type used

(CMOS, CCD, specialized sensors)

Sensor type used

(CMOS, CCD, specialized sensors)

Lighting conditions

(ultra-low illumination, extreme contrasts)

Lighting conditions

(ultra-low illumination, extreme contrasts)

Lighting conditions

(ultra-low illumination, extreme contrasts)

Need for embedded or post-processing

(real-time, edge computing, cloud)

Need for embedded or post-processing

(real-time, edge computing, cloud)

Need for embedded or post-processing

(real-time, edge computing, cloud)

Objectives in range, resolution, autonomy

(detection distance, image sharpness, power consumption)

Objectives in range, resolution, autonomy

(detection distance, image sharpness, power consumption)

Objectives in range, resolution, autonomy

(detection distance, image sharpness, power consumption)

For What?

For What?

For What?

Domains and application

Our technology is designed to serve demanding sectors where capturing every photon is critical. Whether it's enabling earlier diagnosis, securing mobility, or enhancing perception in embedded systems, we deliver a concrete and industrializable solution.

Step Image

01

Defense & Security

  • Embedded night vision systems

  • Perimeter surveillance

  • Long-range detection in complex environments

Step Image

02

Space

  • Low Earth orbit observation

  • Autonomous navigation in darkness

  • Sensor optimization for scientific missions

Step Image

03

Mobility

  • Navigation in low-light environments

  • Embedded vision for drones, robots, and autonomous vehicles

  • In-cabin vision for occupant monitoring and human-machine interaction

Step Image

04

Medical

  • Low-light imaging for endoscopy and microscopy

  • Miniaturization for embedded medical devices

  • Power-efficient solutions for portable systems

Step Image

01

Defense & Security

  • Embedded night vision systems

  • Perimeter surveillance

  • Long-range detection in complex environments

Step Image

02

Space

  • Low Earth orbit observation

  • Autonomous navigation in darkness

  • Sensor optimization for scientific missions

Step Image

03

Mobility

  • Navigation in low-light environments

  • Embedded vision for drones, robots, and autonomous vehicles

  • In-cabin vision for occupant monitoring and human-machine interaction

Step Image

04

Medical

  • Low-light imaging for endoscopy and microscopy

  • Miniaturization for embedded medical devices

  • Power-efficient solutions for portable systems

Step Image

01

Defense & Security

  • Embedded night vision systems

  • Perimeter surveillance

  • Long-range detection in complex environments

Step Image

02

Space

  • Low Earth orbit observation

  • Autonomous navigation in darkness

  • Sensor optimization for scientific missions

Step Image

03

Mobility

  • Navigation in low-light environments

  • Embedded vision for drones, robots, and autonomous vehicles

  • In-cabin vision for occupant monitoring and human-machine interaction

Step Image

04

Medical

  • Low-light imaging for endoscopy and microscopy

  • Miniaturization for embedded medical devices

  • Power-efficient solutions for portable systems

Step Image

05

Environment & Agriculture

  • Disease detection

  • Equipment autonomy

  • Acceleration of precision agriculture

Step Image

06

Industry & Inspection

  • Quality control in low-light conditions

  • Machine vision in enclosed or poorly lit environments

  • Miniaturization for embedded industrial systems

Step Image

07

Scientific & Technical Computing

  • Navigation in low-light environments

  • Embedded vision for drones, robots, and autonomous vehicles

  • In-cabin vision for occupant monitoring and human-machine interaction

Step Image

08

Smart Cities

  • Low-light vision for urban surveillance and traffic monitoring

  • Energy-efficient imaging for distributed sensor networks

  • Passive imaging with unprecedented Total Cost of Ownership

Step Image

05

Environment & Agriculture

  • Disease detection

  • Equipment autonomy

  • Acceleration of precision agriculture

Step Image

06

Industry & Inspection

  • Quality control in low-light conditions

  • Machine vision in enclosed or poorly lit environments

  • Miniaturization for embedded industrial systems

Step Image

07

Scientific & Technical Computing

  • Navigation in low-light environments

  • Embedded vision for drones, robots, and autonomous vehicles

  • In-cabin vision for occupant monitoring and human-machine interaction

Step Image

08

Smart Cities

  • Low-light vision for urban surveillance and traffic monitoring

  • Energy-efficient imaging for distributed sensor networks

  • Passive imaging with unprecedented Total Cost of Ownership

Step Image

05

Environment & Agriculture

  • Disease detection

  • Equipment autonomy

  • Acceleration of precision agriculture

Step Image

06

Industry & Inspection

  • Quality control in low-light conditions

  • Machine vision in enclosed or poorly lit environments

  • Miniaturization for embedded industrial systems

Step Image

07

Scientific & Technical Computing

  • Navigation in low-light environments

  • Embedded vision for drones, robots, and autonomous vehicles

  • In-cabin vision for occupant monitoring and human-machine interaction

Step Image

08

Smart Cities

  • Low-light vision for urban surveillance and traffic monitoring

  • Energy-efficient imaging for distributed sensor networks

  • Passive imaging with unprecedented Total Cost of Ownership