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25GigE Industrial Cameras – BOLT Series (HB)

BOLT 25GigE industrial area scan cameras perfectly blend speed and resolution.

Emergent customers use BOLT 25GigE cameras in applications such as sports broadcasting, virtual reality and interactive content, volumetric capture and industrial automation. Multi-camera systems running BOLT cameras can sync to 1µs, and standard SFP28 connectivity enables you to build cost efficient imaging systems.

All Emergent camera systems are fully RDMA and GigE Vision 3.0 compliant.

  • Resolution: 0.5 – 127.4 MP
  • Speed: 17 – 1586 FPS
  • Chroma: Color, Mono, Near Infrared, UV
  • Sensors: Sony, GPixel
  • Interfaces: 25GigE SFP28
BOLT 25GigE Industrial Camera Series is a blend of speed and resolution that is ideal for sports broadcasting, VR / AR applications.

Why Choose BOLT 25GigE Cameras?

BOLT 25GigE cameras couple with eCapture Pro software to losslessly capture imaging data from multi-camera systems.

BOLT 25GigE Cameras for Large Multi-Camera Systems

Emergent customers run as many as 200 cameras in a single system using BOLT 25GigE cameras and multiple server nodes. eCapture Pro software has built-in FlexProc and FlexTrans technologies, which allow you to set up which nodes in your system perform capture, processing and storage tasks.

product series builder page bolt 25gige speed resolution 100

High-Speed, High-Resolution 25GigE Cameras with SFP28

BOLT 25GigE cameras provide high speed, high resolution and different combinations of both, ranging from 0.5-127 megapixels and 17-1,586 frames per second. BOLT cameras run on an ultra high-speed SFP28 interface and are offered in color, mono, near-infrared (NIR) and ultraviolet (UV) versions.

BOLT 25GigE cameras provide from 0.5-127.4MP of resolution and up to 1,586 frames per second.

Low-Latency 25GigE Camera Systems with 1 µs Synchronization

BOLT camera systems offer low latency, low jitter, and 1µs multi-camera synchronization using IEEE1588. SFP28 supports 3 cabling options for cable lengths from 1 meter to 10 kilometers. Put viewers inside a sport, find defects on a production line, or create immersive, realistic content.

RDMA & GigE Vision 3.0 compliant

BOLT 25GigE Camera Specifications

Feature

Specification
GigE Speed 25GigE (25x faster than 1GigE)
Sensors BOLT uses the latest global shutter sensors from Sony and GPixel.
Power Requirements 12W
Dimensions Model dependent
Sensor & Shutter Type CMOS, Global Shutter
Standard Mounts C-Mount, M52, M60, M82, RF (mount type is model dependent)
Bit Depth 8-bit, 10-bit, 12-bit
Operating System Windows (64-bit), Linux (64-bit)
Compliance CE, FCC, RoHS, WEEE, GigE Vision, GenICam
Warranty 3 years
Third-Party Software Compatibility Cognex VisionPro, MVTec Halcon, NI Labview, GenTL Support

Available BOLT 25GigE Area Scan Camera Models

 

 

 

 

 

Model Chroma Resolution Frame Rate Interface Sensor Name Pixel Size
System Designer is a sortable database of all Emergent GigE cameras, network interface cards, lenses and cables for machine vision.

System Designer helps you choose.

See the full ecosystem of Emergent’s GigE cameras, network interface cards, lenses and cables. System Designer helps you find the best camera for your application.

Build a Complete GigE Camera System

eCapture Pro Runs High-Performance Vision Systems.

GUI-based machine vision software for 10, 25, and 100GigE camera systems, enabling rapid configuration, multi-camera control, and reliable high-speed image acquisition.

Build Your Own Vision Applications Using eSDK Pro.

SDK for building vision applications with efficient capture, processing, transport, and storage, enabling seamless integration with third-party software and OEM systems.

Network Interface Cards (NICs)

Optimized NICs supporting zero-copy and GPUDirect transfer across 10, 25, and 100GigE systems, ensuring reliable high-throughput data streaming and multi-camera performance.

Accessories

Cables, switches, and lens adapters designed for complete system integration, supporting reliable connectivity, power delivery, and efficient deployment of machine vision systems.