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System-ready camera modules

Camera Modules for Robots That Identify and Classify

Autonomous robots need reliable visual data to recognize objects, read labels, classify items, and make accurate decisions in real time. FRAMOS system-ready camera modules combine high-quality image sensors, validated optics, optimized image pipelines, and platform support to help robotics teams build dependable identification systems faster.

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Camera Modules for Robots That Identify and Classify
Robot identification & classification

Camera modules that give robots the image quality to identify and classify

Robots that pick, sort, inspect, or interact with objects need to identify what they are seeing – quickly and reliably. That requires camera modules that deliver 4K detail, HDR range, and low-light sensitivity to embedded AI inference pipelines. Standard camera hardware introduces the bottleneck. FRAMOS removes it.

FSM:GO IMX678 is a system-ready 4K camera module with STARVIS 2 NIR sensitivity, matched optics, and validated platform drivers – deployable into Jetson and NXP architectures without custom sensor bring-up.

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Detection confidence simulator

The camera you choose determines whether the robot sees it at all

Object recognition models depend entirely on the image they receive. A generic 2MP module may miss objects in low light or fail on high-contrast scenes. FSM:GO IMX678 delivers 4K STARVIS 2 image quality across all lighting conditions - keeping detection confidence above 85% where generic modules drop below 40% or fail entirely.

Object Detection Confidence Simulator FSM:GO IMX678
Camera
Scene
Objects detected
5 / 5
Avg. confidence
94%
Scene condition
NORMAL
AI decision
RELIABLE
Generic 2MP: unreliable in real conditions
Low-resolution sensors cannot resolve surface detail, labels, or markings at working distances. In low light, detection drops below 40% — objects go unrecognised, pipelines stall, and robots make wrong decisions.
Wrong lens: resolution without coverage
Even a high-resolution sensor paired with the wrong lens loses effective detail at the working distance. FRAMOS matches optics to the application — field of view, working distance, and depth of field validated together.
FSM:GO IMX678: reliable across all conditions
4K STARVIS 2 with FRAMOS ISP tuning delivers 87–97% detection confidence across all lighting conditions. Every object in the scene — including a moving person — is reliably detected and classified.
Built for robot identification workflows

Every requirement of a deployed identification system

Robot identification requires 4K image resolution for detail, STARVIS 2 NIR sensitivity for variable lighting, HDR for high-contrast scenes, matched optics for working distance, and validated platform drivers to minimise integration risk.

4K Resolution & Detail

FSM:GO IMX678 delivers 8.3 MP at 4K for resolving object surface detail, text labels, and markings at working distances. Higher resolution feeds AI models with more discriminating data for accurate classification.

STARVIS 2 Low-Light Sensitivity

Sony STARVIS 2 NIR sensitivity maintains image quality in dark, low-light, and IR-illuminated environments. Detection confidence stays above 85% where generic modules drop below 40% or fail entirely.

HDR for High-Contrast Scenes

Wide dynamic range handles scenes with mixed ambient and direct lighting - shelving, conveyor lighting, or outdoor environments where overexposure or underexposure would destroy recognition confidence.

Matched Optics for Working Distance

FRAMOS matches lens HFoV (54°, 100°, 110°) to the application working distance and field coverage requirements. Optics and sensor are validated together - not selected independently.

NDAA-Compliant Variant

FSM:GO IMX838 is an NDAA-compliant drop-in replacement for IMX678 with identical architecture, optics, and drivers. Switch to IMX838 for regulated-market deployments without redesigning the system.

Platform Drivers & Integration Support

Validated MIPI CSI-2 drivers for NVIDIA Jetson, NXP i.MX, Qualcomm, and Raspberry Pi. FRAMOS integration support reduces camera bring-up from weeks to hours for embedded AI identification pipelines.

Robot identification applications

Where FSM:GO modules are deployed

Warehouse & Logistics Robots

Robots that pick, sort, and route parcels in logistics environments need to identify object type, label content, and destination data in real time. FSM:GO IMX678 delivers 4K resolution and STARVIS 2 low-light sensitivity for reliable identification across warehouse lighting conditions.

FSM:GO IMX678 STARVIS 2 Logistics automation

Industrial Inspection & Quality Control

Automated inspection systems identify defects, verify markings, and classify products on production lines. High-resolution imaging, HDR, and matched optics ensure every detail is captured for AI classification at line speed.

FSM:GO IMX678 HDR Production line

Service & Collaborative Robots

Service robots operating in public or semi-structured environments need to recognise people, objects, and context to act appropriately. FSM:GO IMX678 with 100° or 110° HFoV covers wide scenes while maintaining 4K detail for person and object classification.

FSM:GO IMX676 Wide FoV Service robotics
Designing a robot identification system?

Our engineering team can help you select the right module, optics, and integration path for your object recognition and AI classification requirements.

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Recommended module

FSM:GO IMX678 for robot identification

IMX678 Camera module
Module
FSM:GO IMX678
Resolution
8.3 MP / 4K
Best fit
Robot identification
Interface
PixelMate
Primary: robot identification & classification

FSM:GO IMX678

8.3 MP · 4K STARVIS 2 · System-ready

  • 4K STARVIS 2 image quality - 8.3 MP with HDR and FRAMOS-tuned ISP delivers the detail AI classification models need to distinguish objects reliably, including labels, markings, and surface variation at working distances
  • Low-light detection without compromise - STARVIS 2 NIR sensitivity maintains recognition confidence in warehouse, outdoor, and variable-lighting environments where generic modules produce false negatives
  • System-ready with matched optics - 54°, 100°, and 110° HFoV lens options, validated drivers for Jetson and NXP, calibrated and deployable without custom sensor development
NVIDIA Jetson NXP i.MX Qualcomm Raspberry Pi
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NDAA
Compliant
EU-built · Regulated markets
Module
FSM:GO IMX838
Architecture
STARVIS 2 · 4K
Drop-in for
IMX678
Redesign needed
None
NDAA drop-in alternative · regulated markets

FSM:GO IMX838

NDAA-compliant · Same architecture · Zero redesign

  • Same sensor architecture as IMX678 - same STARVIS 2 image quality, same 4K resolution, same matched optics and validated drivers, same platform integration. The robot identifies objects just as well.
  • Market-access enablement - EU-built and compliant for regulated procurement requirements, without changing your robot's identification software or camera mount.
  • Available in all three lens configurations - 54°, 100°, and 110° HFoV, geometrically calibrated, PixelMate interface. Drop it into the same system you already validated with IMX678.
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Integration path

From camera module to working identification system

1

Select module and optics

FSM:GO IMX678 for primary identification. Choose lens HFoV (54°, 100°, or 110°) based on working distance and field coverage. FRAMOS supports optics selection based on object size, distance, and recognition requirements.

2

Connect to embedded platform

PixelMate interface and validated MIPI CSI-2 drivers for NVIDIA Jetson, NXP i.MX, Qualcomm, and Raspberry Pi. Reduce camera bring-up to hours, not weeks.

3

Run inference pipeline

4K STARVIS 2 image data feeds directly into your AI model. FRAMOS ISP tuning optimises colour, exposure, and noise characteristics for classification and detection accuracy.

4

Deploy or switch to NDAA variant

Ship with IMX678 for standard markets. For regulated-market deployments requiring NDAA compliance, swap to FSM:GO IMX838 - same optics, same drivers, zero mechanical or software redesign.

Explore more autonomous robot vision applications

FRAMOS supports the full range of autonomous robot perception requirements from the same validated module ecosystem.

Autonomous Robots

Navigation

Depth-sensing modules for obstacle detection, spatial mapping, and safe autonomous movement. Global shutter imaging and 3D depth for reliable robot navigation.

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Solution hub

Autonomous Robots Overview

Explore the full autonomous robot vision cluster - identification, navigation, and intelligent robot perception with validated camera modules for embedded platforms.

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Build reliable vision for robot object identification

Our experts help robotics teams select, integrate, and tune camera modules for object recognition, classification, and AI-based decision-making workflows.

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