U3-34E0CP Rev.2.3 IDS USB 3.0 Industrial Camera

Technical Overview

The U3-34E0CP Rev.2.3 is a high-performance 4.15 MP USB 3.0 industrial camera integrated with the Sony IMX664 rolling shutter sensor from the Starvis 2 series. This 1/1.8" CMOS sensor delivers a resolution of 2704 x 1536 pixels at a fast frame rate of 85.3 fps. It is specifically designed for applications requiring high sensitivity in the NIR (near-infrared) range and extremely low image noise, such as ITS, medical technology, and quality assurance. Its compact 29mm cubic housing and lightweight design make it ideal for integration into robotic arms and multi-camera systems.

Key Features

2704 x 1536 Resolution (4.15 MPix)
Sony IMX664 1/1.8" CMOS Sensor
85.3 fps at maximum resolution
USB 3 5.0 Gbps interface with USB3 Vision standard
Rolling Shutter technology
Enhanced sensitivity in the NIR (near-infrared) range
Anti-reflection coating to prevent flare
Ultra-compact industrial design (29 x 29 x 29 mm)
100% quality tested with 3-year warranty
Support for uEye+ software and IDS peak SDK
Climate neutral and Made in Germany
Robust IP30 rated housing

Technical Specification Matrix

Parameter	Value
Item number (Color)	1012587
Item number (Monochrome)	1012589
Camera family	CP
Interface	USB 3
Interface-Speed	5.00 Gbps
Sensor type	CMOS
Sensor manufacturer	Sony
Frame rate @ resolution max.	85.3 fps
Resolution (h x v)	2704 x 1536
Optical Area	7.842 mm x 4.454 mm
Shutter	Rolling Shutter
Optical class	1/1.8"
Resolution	4.15 MP
Pixel size	2.90 µm
IP code	IP30
Sensor model	IMX664
Product Life Cycle	In development
Dimensions	29 x 29 x 29 mm
Warranty	3 years
Pixel formats (Color variant)	BayerRG8, BayerRG10p, BayerRG12, BayerRG12p, BayerRG10
Pixel formats (Monochrome variant)	Mono8, Mono10, Mono10p, Mono12, Mono12p
Binning (Sensor)	2x2
Mirror/flip	X/Y
Certifications	CE, FCC, ChinaRoHS EFUP 25, UKCA

Industrial Applications

1. Nighttime ALPR for Intelligent Transportation Systems (ITS)

Deployed within environmentally sealed outdoor enclosures, this camera captures clear images of fast-moving vehicles at night. Its Sony IMX664 Starvis 2 sensor provides exceptional Near-Infrared (NIR) sensitivity, allowing the system to use IR illuminators that do not disturb human drivers [1.6]. The high 85.3 fps frame rate ensures motion blur is minimized even at highway speeds.

Problem Solved

Eliminates the need for disruptive visible flash lighting in traffic monitoring while accurately capturing fast-moving license plates in low-light environments.

Sony IMX664 Starvis 2Near-Infrared (NIR) Sensitivity85.3 fps Frame Rate4.15 MP ResolutionIntelligent Transportation Systems (ITS)

2. High-Speed Automated Optical Inspection (AOI) in Embedded Robotics

Integrated directly onto robotic arms for close-range automated optical inspection (AOI) in process and quality control. The ultra-compact 29 x 29 x 29 mm footprint allows it to maneuver in tight spaces, while the 5.00 Gbps USB 3 interface streams uncompressed high-resolution image data instantly for real-time defect analysis.

Problem Solved

Overcomes spatial constraints in modern robotic assembly lines without sacrificing the high data throughput required for real-time quality assurance.

29 x 29 x 29 mm DimensionsUSB 3 5.00 Gbps InterfaceMachine VisionIP30 CodeAutomated Optical Inspection

3. Digital Slide Scanning in Automated Biomedical Analyzers

Utilized in medical technology and laboratory automation to digitize microscope slides. The 2.90 µm pixel size coupled with a 4.15 MP resolution delivers highly detailed cellular images. Operating in a controlled dry IP30 environment, the camera's rolling shutter and 1/1.8" optical class pair seamlessly with diagnostic optics to enable rapid, continuous scanning of biological samples.

Problem Solved

Accelerates laboratory diagnostics by rapidly acquiring high-resolution microscopic images for software-based cellular analysis, fitting efficiently into compact diagnostic desktop devices.

1/1.8" Optical Class2.90 µm Pixel SizeRolling ShutterLaboratory AutomationHigh-Throughput Microscopy