Antares is a full-resolution multispectral camera with onboard processing, delivering advanced imaging at up to 5x lower cost.
Conventional multispectral imaging solutions are expensive, bulky, and resolution‑limited—forcing users to choose between image detail and budget.
A high‑performance CMOS sensor paired with swappable, custom optical filters delivers native resolution in every spectral band.
Run AI/ML models in real time, right on the device, with low latency.
Change filters in seconds to target new materials or wavelengths, no new hardware required.
Affordable components and modular filters dramatically reduce total system cost.
High upfront cost limits scalability and broad adoption.
Modular design supports easy expansion with additional cameras and filters.
Expansion is costly and often requires complex integration.
Retains full native resolution per band using high-res sensors and filters.
Resolution per band is typically lower due to demosaicing or scanning methods.
Interchangeable filters enable rapid adaptation to new use cases.
Changing spectral bands may require new hardware or factory modifications.
On-device FPGA processing supports low-latency inference and real-time analytics.
Typically reliant on external units, adding latency and infrastructure complexity.
Comes with an SDK and access to our R&D team for tailored solutions.
Basic SDKs and limited support for customization.
| Feature | Antares | Conventional Multispectral Cameras |
|---|---|---|
Detect foreign objects and surface contaminants, automating 100 % inspection.
Identify micro‑defects and material inconsistencies before they reach final assembly.
High-resolution remote sensing for crop health monitoring and yield optimization.
Perform non‑contact analysis of biological samples for rapid quality control.
Talk to our engineers and get a custom optical stack tailored to your application.
Fill out the form below, and we will provide an invoice for you order. If you need any additional information feel free to contact us at hello@protostar.ai
