Technologies / 01

Photon-grade
measurement systems.

Each Skovomax technology is engineered as a complete optical system — from the physics of photon generation, through propagation and target interaction, to detection, timing, and information reconstruction.

λ 1550 nm · Coherent/Signal · Stable
01 / Photonic LiDAR

LiDAR is a
closed-loop light system.

Photon emission → interaction → return → detection → timing → reconstruction. From a pure photonics viewpoint, LiDAR is not a sensor — it is a laser-based measurement system that captures the geometry and structure of the physical world.

Anatomy of a Photonic LiDAR — labeled diagram of the optical and electronic subsystems: laser source, beam steering, propagation, photon detection, and signal processing.
Anatomy of a Photonic LiDAR — from photon generation to point-cloud
STEP 01

Light Generation

A laser source emits controlled photons.

STEP 02

Propagation

Light travels through atmosphere (scatter, attenuation).

STEP 03

Interaction

Reflection (primary), partial absorption, surface-dependent response.

STEP 04

Return Signal

Reflected photons return to the sensor.

STEP 05

Detection

Photodetector converts photons → electrical signal.

STEP 06

Interpretation

Time delay + intensity → distance + structure.

02 / Photonic Sensors

Closed-loop
optical architectures.

A photonic sensor is an engineered pipeline — laser source, beam shaping, target interaction, photodetection, and signal processing — treated as a single optical system. Range, velocity, and material signatures fall out of the physics.

Anatomy of a Photonic Sensor — labeled diagram showing the photonic integrated circuit, CMOS photodiode array, micro-optics interface, smart electronics, and the layer-by-layer exploded stack from protective window down to the high-speed interface.
Anatomy of a Photonic Sensor — from waveguide to AI processing engine
BLOCK A

Laser Source

Coherent emission — fiber lasers, DFB diodes, narrow-linewidth sources for phase-stable measurement.

BLOCK B

Beam Shaping

Collimators, MEMS / galvo scanners, diffractive optics that control divergence and spot geometry.

BLOCK C

Target Interaction

Reflection, absorption, and scattering carry the information the measurement is trying to extract.

BLOCK D

Photodetection

APDs, SPADs, and balanced photodiodes convert returning photons into electrical signal with timing fidelity.

BLOCK E

Signal Processing

Time-of-flight, FMCW, or coherent phase pipelines reconstruct distance, velocity, and structure.

Modalities
  • Time-of-Flight — direct photon travel time → range.
  • FMCW — frequency-modulated coherent detection → range + velocity.
  • Phase-based — modulated intensity phase shift → short-range precision.
Performance axes
  • Range / SNR — source power, detector sensitivity, aperture.
  • Eye-safety — 1550 nm operating window.
  • Coherence — narrow linewidth enables FMCW + interferometric sensing.
03 / Fiber Laser Systems

Doped optical fiber
as gain medium.

The gain medium is an optical fiber doped with rare-earth elements — Ytterbium (Yb³⁺), Erbium (Er³⁺), or Thulium (Tm³⁺). Instead of a bulk crystal, the fiber itself generates and amplifies light, delivering diffraction-limited beams with M² < 1.1 at kilowatt power.

Anatomy of a Fiber Laser System — bench photograph annotated with each subsystem: high-brightness doped fiber gain medium, high-power laser diode, fiber Bragg grating, advanced fiber isolator, next-gen (2+1)×1 fiber combiner, real-time monitoring & control unit, beam delivery, and high-power 1000W / 1080nm output with M² < 1.1 diffraction-limited beam.
Anatomy of a Fiber Laser System — 1000W @ 1080nm with M² < 1.1
STEP 1

Pumping

External laser injects energy into doped fiber.

STEP 2

Excitation

Rare-earth ions absorb energy → excited state.

STEP 3

Stimulated Emission

Incoming photons trigger emission of identical photons.

STEP 4

Amplification

Light is amplified as it travels through fiber.

STEP 5

Resonance

Cavity builds coherent laser output.

Why fiber lasers
  • High Efficiency — excellent heat dissipation via fiber geometry.
  • Beam Quality — highly coherent output.
  • Compact & Robust — no complex bulk alignment.
  • Scalable Power — low-power sensing to high-power industrial.
Integration
  • LiDAR systems — stable laser source, eye-safe 1550 nm.
  • Environmental monitoring — mid-IR sensing (Thulium).
  • Coherent LiDAR (FMCW) — phase-accurate ranging.
  • Optical communication — sensing networks, telemetry.
04 / GeoAI

Pattern intelligence
from spatial data.

“Data are not just numbers, they are numbers with a context. In data analysis, context provides meaning.” — Cobb & Moore, 1997. Geospatial analytics adds timing and location to traditional data, revealing insights lost in spreadsheets.

Anatomy of GeoAI — multi-source Earth data (satellite, aerial, LiDAR, IoT) feeding geospatial AI models for land-use classification, change detection, hazard prediction, carbon and infrastructure monitoring, producing actionable insights for climate, disaster, smart-city, agriculture and natural-resource use cases.
Anatomy of GeoAI — better data → smarter AI → stronger decisions → sustainable future

Feature extraction from imagery

CNNs + classical CV on hyperspectral, multispectral and SAR.

Classification from point clouds

Supervised and self-supervised segmentation of LiDAR scans.

Deep learning for geoscience

Spatial diffusion, gravity models, multi-criteria AHP/TOPSIS.

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