High-speed area scan camera with an ams/CMOSIS CMV12000 global shutter CMOS sensor (5.5 um pixel). Outputs 4096 x 3072 (12.6 MP) at up to 188 fps over a CXP-6 interface (4 x 6.25 Gbps). Supports hardware trigger and free-run modes, pixel-by-pixel FFC, ROI, PoCXP and DC 24V power.
The iRAYPLE AX5A22MX060E is a 12.6 MP monochrome area scan camera built around the ams (CMOSIS) CMV12000 global shutter CMOS sensor with a 5.5 um pixel. Its defining characteristic is the combination of high pixel count (4096 px across the horizontal axis) with a high frame rate of up to 188 fps, which positions it for applications that need both spatial detail and fast image capture in the same acquisition. The global shutter exposes every pixel simultaneously, so fast-moving parts are captured without the geometric skew or smear that a rolling shutter would introduce, making it suited to imaging objects on the move or under stroboscopic lighting.
Bandwidth at this resolution and frame rate is delivered over a CoaXPress (CXP-6) interface, a coax-based standard designed for high, sustained throughput and deterministic, low-latency transfer between the camera and a frame grabber. CoaXPress also carries trigger and control signalling alongside image data. The camera exposes its features through GenICam, the vendor-neutral standard that lets it be discovered and configured by any compliant frame grabber software or machine vision SDK.
As a monochrome model, the sensor captures luminance directly without a colour filter array, which preserves full per-pixel spatial resolution and light sensitivity. This makes it a strong fit for measurement and defect detection where contrast and fine detail matter more than colour. The M42 lens mount provides the larger image circle typically needed to cover a sensor of this physical size, and the camera is listed as Rosepetal-ready, indicating compatibility with that platform for AI-based inspection workflows.
Best for
High-speed surface inspection of continuously moving webs, sheets or parts where a global shutter prevents motion distortion
AI-based defect inspection on production lines, where the high resolution and Rosepetal-ready integration support model-driven detection
Detecting fine surface flaws such as scratches, dents and contamination across a large field of view in a single capture
Fast inline inspection where the 188 fps capability allows imaging at high line throughput without slowing the process
High-detail metrology and gauging tasks that benefit from the full per-pixel resolution of a monochrome sensor
Selection notes
The M42 mount and 12.6 MP sensor demand a lens with a sufficiently large image circle and resolving power; an undersized or low-resolution lens will limit effective detail and cause corner falloff, so match the lens to the sensor format and pixel size.
Sustaining 188 fps requires a CoaXPress frame grabber with enough CXP-6 link capacity to match the camera's bandwidth, plus appropriately rated coax cabling; verify link count, cable length limits and the power-delivery options of your grabber or separate supply.
High frame rates shorten the available exposure window, so plan lighting with adequate intensity; pulsed or strobed illumination pairs well with the global shutter to freeze motion and avoid blur on fast lines.
Choose monochrome here when contrast and resolution drive the inspection; if colour discrimination is essential to the defect classification, a colour model would be the better fit.
Confirm the host PC, frame grabber and software stack support GenICam so the camera can be configured and integrated without vendor lock-in.
Specifications: General
Camera type
Area scan
Specifications: Sensor
Resolution
12.6 MP
Horizontal resolution
4096 px
Mono / color
Monochrome
Sensor manufacturer
ams (CMOSIS)
Sensor model
CMV12000
Shutter
Global shutter
Pixel size
5.5 µm
Specifications: Performance
FPS
188 fps
Specifications: Interface
Interface
CoaXPress, CXP-6
Protocols
GenICam
Specifications: Optics
Mount
M42
Specifications: Commercial
Rosepetal-ready
Yes
This product groups every purchasable order code that shares the same sensing method, range and output. Cable length, connector type and operation mode (Light-ON/Dark-ON, NO/NC) vary by order code below.
Family variants with highlighted differences
Model
Mono / color
Interface
Availability
12.6 MP Monochrome CoaXPress Base
Monochrome
CoaXPress
On request
Applications this camera is commonly selected for. Open one to see the full recommended hardware and approach.
Follow these steps to bring up your iRAYPLE camera, capture a first image, and move from the viewer to your own application. The flow is the same across the A, AE, AX and L series; only the physical interface differs.
Download and install the iRAYPLE machine-vision SDK together with its viewer client for your operating system. The installer provides the camera drivers, the GenTL producer, and the viewer you will use for first light. For GigE Vision models, also install or enable the bundled filter/performance driver on the network adapter to maximize throughput.
2. Connect the camera to the correct interface
Wire the camera to its matching host interface: a dedicated Gigabit (or 10 GigE) NIC for GigE Vision models, a USB3 Vision port with a quality cable for USB3 models, or a frame grabber for CoaXPress models. Power the camera (PoE, USB bus power, or PoCXP / external supply as applicable). For GigE Vision, put the NIC and camera on the same subnet and, where supported, enable jumbo frames.
3. Detect and open the camera in the viewer
Launch the iRAYPLE viewer, run device enumeration, and select your camera from the discovered list. Open it to load the device feature tree (GenICam node map). If a GigE camera is found but cannot be opened, correct the IP configuration so the camera and NIC are in the same address range.
4. Set exposure, gain and trigger, then grab a first image
Start with continuous (free-run) acquisition under stable lighting. Adjust exposure time and gain for a well-exposed, low-noise image, set the pixel format (e.g. Mono8 or a Bayer/RGB format), and tune white balance on color models. Once the live image looks correct, switch trigger mode to hardware or software trigger to synchronize capture with your process, and verify a single triggered frame.
5. Move from the viewer to the SDK or a GenICam library
With imaging confirmed, reproduce the same settings in code using the SDK's C/C++ or Python API: enumerate, open, configure the relevant GenICam features, register a frame callback or grab loop, and convert frames to your pipeline's buffer format. Since the cameras are GenICam/GenTL-compliant, you can alternatively drive them from a third-party GenICam vision library. From here a stable image stream can feed a deep-learning inspection step such as Rosepetal for automated quality control.
Frequently asked questions
Yes. It uses the ams (CMOSIS) CMV12000 global shutter CMOS sensor, which exposes all pixels at the same instant. This captures fast-moving objects without the skew or smear associated with rolling shutters, making it well suited to high-speed and motion-heavy inspection.
It connects over CoaXPress at the CXP-6 grade, a coax-based interface that provides high, sustained bandwidth with low, deterministic latency. CoaXPress also carries trigger and control signals alongside image data, so it requires a compatible CoaXPress frame grabber in the host system.
The camera outputs 12.6 MP images with a horizontal resolution of 4096 px, at frame rates of up to 188 fps. This combination of high pixel count and high speed lets it capture fine detail across a large field of view while keeping pace with fast production lines.
This model is monochrome. Without a colour filter array it preserves full per-pixel resolution and light sensitivity, which benefits contrast-based defect detection and measurement. If your application depends on distinguishing colours, a colour camera would be the appropriate alternative.
It uses an M42 lens mount, which provides the larger image circle needed to cover a sensor of this size. It is GenICam compliant, so it can be discovered and configured by any GenICam-compatible frame grabber software or machine vision SDK, and it is listed as Rosepetal-ready for AI inspection workflows.
