01
Mobility
Perception for vehicles that move
ADAS-grade stereo and time-of-flight optics, multispectral lane and object recognition, and ruggedized vision units built for vibration, spray, and thermal cycling.
Optical sensor integration / 002
Sight,
at scale.
A unified optical perception platform engineered for the field — mobility, smart cities, power plants, and robotics share one stack of sensors, edge compute, and mathematically safe control.
Explore the domains[01] Application domains
The same stack,
four worlds.
02
Smart cities
A distributed vision mesh
Federated edge nodes fuse traffic, air-quality, and adaptive lighting streams with on-device, privacy-preserving inference — no raw frames leave the intersection.
03
Power plants
Critical infrastructure under watch
Thermal and UV imaging for boilers, turbines, and substations; predictive corrosion and corona detection; IP67 vision in hazardous and high-EMI zones.
04
Robotics
Eyes for autonomous motion
6-DoF pose estimation, depth + RGB fusion for bin picking, and safety-rated perception that lets collaborative arms and mobile robots operate inside the safe envelope.
[02] The stack
Four layers.
One optical spine.
LAYER_01 / ACTIVE
SENSING
Multispectral and stereo optics, ToF, thermal, UV, and acoustic sensors behind IP67 housings with anti-biofouling and vibration isolation.
[03] Network & compliance
Backed by public
research institutions.
Consortium partners
University of PotsdamPrimary academic partner
DLR Projektträger BSFZIndependent research verification
Sächsische AufbaubankRegional funding program
go-InnoSME innovation voucher
Compliance & ratings
ISO 9001-aligned
Engineering process
GDPR by design
On-device, privacy-preserving inference
IP67 / IEC 60529
Ruggedized ingress protection
§6 FZulG certified
German Research Allowance
[AgTech] Moving edge perception
Roving cameras,
agriculture at scale.
A fleet of moving edge device cameras — motorized, multispectral, and on-device — turning large-scale agricultural deployments into a single, verifiable perception field.
UNIT_01 / FIELD_CAM
One camera, the whole field.
Edge-camera units move and re-aim across a cultivation site rather than sitting fixed. Each unit fuses RGB and near-infrared streams, runs visual algorithms on-device, and hands structured telemetry back to OptiVX — covering thousands of rows with a fraction of the hardware of a static-camera grid.
Motorized pan-tilt & rail
Roving edge cameras that re-frame coverage as crop zones evolve.
On-device inference
Models run locally on the camera unit — no round-trip to the cloud.
Multispectral fusion
RGB + NIR combine into a single, mathematically safe perception stream.
Mesh telemetry
Camera-to-camera coordination across a large-scale deployment fleet.
Visual algorithms on the edge
04 activePhenotyping & growth staging
Plant-level segmentation and growth-stage inference across thousands of rows in real time.
Anomaly & disease detection
Multispectral lesion classification with bounded false-positive control on the edge.
Yield mapping
Dense canopy estimation feeding back into the OptiVX optimization loop.
Autonomous re-targeting
RL-driven camera re-orientation toward regions of declining confidence.
[03] Deploy with Gemino AI
Put the optical
spine to work.
From a single intersection to a fleet of vehicles, the platform deploys as one reference architecture calibrated for your domain.
hello@gemino.aiReference specification
- Optical
- Stereo · ToF · Multispectral · Thermal · UV
- Ingress
- IP67 ruggedized, anti-biofouling, vibration-isolated
- Edge
- Fanless local compute, offline buffering, OTA model updates
- Safety
- Constrained Safe RL projection before every action