Hikrobot GigE Vision cameras
GigE cameras for industrial machine vision networks
GigE cameras send images from the machine to a PC-based vision system over an Ethernet network. They suit applications with longer cable routes, PoE or multiple cameras. Sensor, shutter, optics and lighting still determine whether the transmitted image contains the required detail and contrast.
Processing
On an industrial PC
Cabling
Data, with PoE options
Scaling
Single and multi-camera systems
Camera, network and vision PC must support the same data rate and timing.
When GigE fits the machine layout
Connection distance, power and camera count
GigE Vision is practical when the camera and vision PC are separated by a longer distance, when PoE can simplify cabling, or when several cameras share network infrastructure.
Image quality still comes from the imaging setup
The interface does not determine sensor, shutter, resolution, lens or lighting. These choices follow from the product, field of view, movement and feature that must remain visible.
Remote vision PC
The camera can remain at the inspection station while processing takes place on an industrial PC in the cabinet.
PoE installation
Supported PoE hardware can carry power and image data over the same Ethernet cable.
Multi-camera network
Several cameras can share network infrastructure when bandwidth, triggering and packet handling are coordinated.
Camera and network specifications
Specifications to assess alongside the interface
Image quality, camera output and network capacity must match. Resolution, frame rate, bit depth and camera count determine the data load that the network and vision PC must process.
01 · Motion
Shutter and exposure
Global or rolling shutter, exposure time and trigger timing must suit the product movement.
02 · Detail
Field of view and pixels
The field of view and smallest relevant feature determine the required sensor resolution.
03 · Data
Frame rate and camera count
The actual data load follows from resolution, bit depth, frame rate and the number of cameras.
04 · Image
Lens and lighting
Working distance, lens and lighting geometry determine whether the relevant feature has stable contrast.
GigE suits longer or shared connections
Cable routing, PoE and multi-camera networking can be integrated into the machine architecture.
USB3 suits a short direct connection
USB3 provides a direct high-bandwidth connection when the camera is installed close to the PC.
Sensor, shutter, lens and lighting remain decisive for image quality. The camera selection guide explains how these choices relate.
Frequently asked questions
GigE Vision in practical terms
Interface decisions are easiest when image requirements and machine architecture are reviewed together.
GigE-capable camera families
MV-CA and compact MV-CS cameras
MV-CA and MV-CS include GigE and USB3 models. The imaging task determines the suitable sensor, shutter and frame rate, while the machine architecture determines which interface is practical.
Broad 2D platform
MV-CA
36 modelsA broad family for industrial 2D image acquisition, with GigE and USB3 models covering different combinations of resolution, movement, frame rate and sensor characteristics.
View MV-CA →
Compact C-mount
MV-CS
63 modelsCompact C-mount cameras with GigE and USB3 models, including monochrome, colour and NIR options for limited installation space.
View MV-CS →Area scan camera families
Overview of area scan families, sensors, shutters and available resolutions.
Industrial camera types
Comparison of area scan, line scan, smart cameras and other camera types.
Processing inside the camera
Smart cameras process the inspection internally and send the result directly to the machine controls.
Questions about a GigE camera system?
Discuss the camera and network with a vision specialist
Field of view, smallest relevant feature, movement and working distance determine the imaging setup. Cable routing, camera count, triggering and expected data load determine the network and processing requirements. Sedeco can assess these as one system.
Useful application information
- Image taskField of view and smallest relevant feature
- Product behaviourMotion, cycle time and trigger moment
- Machine layoutWorking distance, cable route and cabinet position
- System scaleCamera count, network hardware and result communication