VSS122D24.041P-000 B & R Automation

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The B & R Automation VSS122D24.041P-000 is part of the VS Smart Sensors series and provides integrated machine vision with a resolution of 3.5 MP and a frame rate of 43 fps. It uses a Cortex A9 i.MX6 quad core processor at 800 MHz, has 2 GB of RAM, and features an 8 mm lens with a 37 degree angle. The sensor includes 16 infrared LEDs with a peak wavelength of 856 nm and anti-reflective coated front glass.

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Product Description:

The VSS122D24.041P-000 is a smart camera in the VS Smart Sensors series from B&R Automation. It combines optics, lighting, and processing in one housing for automated inspection stations. That integrated design lets the unit run a single vision task and send results directly to PLC networks without requiring an external industrial PC.

An 800 MHz processor built on a Cortex A9 i.MX6 quad core architecture gives the camera enough computing headroom for embedded image evaluation. With 4 cores available, parallel processing can keep inspection steps responsive when matching patterns or checking features. The system can reach 43 fps, which supports fast part flow and helps reduce missed detections on moving lines.

A fixed 8 mm lens provides a 37-degree horizontal field of view, giving the sensor a defined working area for repeatable checks. The camera includes 2 GB RAM, and that memory supports a capture resolution of 3.5 MP so measurement data can remain available during processing. Illumination comes from 16 LEDs arranged in four switchable segments, and their output peaks at 856 nm for stable infrared imaging on reflective surfaces.

Wake Industrial stocks this model and can arrange same-day shipping for time-critical orders. That quick turnaround is useful when a stopped inspection station is delaying production and normal output must be restored that same day. Every purchase includes a 1-year warranty, quotations remain valid for 30 days, and the chat tool available on the website can answer general questions about type details or fault codes during planning.

Angle
37°
Clock Frequency
800 MHz
Focal Length
8 mm
Frame Rate
43 fps
Front Glass Type
Glass with anti-reflective coating
Functionality
One active vision function
L2 Cache
1 MB
LED Configuration
16 LEDs (4 segments with 4 one-color LEDs each)
LED Lens Type
LED lens type 2, standard
Lens Type
8 mm, F4 1/1.8"
Lighting Type
IR (Infrared)
Line Sensor Suitability
No
Mount
S-mount
Number of Cores
4
Peak Wavelength
856 nm
Preprocessing Performance
Standard variant
Processor Type
Cortex A9 i.MX6 quad core
Product Group
Smart Sensor
Product Range
Integrated machine vision
RAM
2 GB
Resolution
3.5 MP
Variant Option
Standard variant

Frequently Asked Questions about VSS122D24.041P-000:

Q: What is the field of view angle provided by the VSS122D24.041P-000 sensor?

A: The VSS122D24.041P-000 smart sensor has a viewing angle of 37°.

Q: What is the maximum frame rate of the VSS122D24.041P-000 sensor?

A: This model features a frame rate of 43 frames per second for rapid image capture.

Q: How is the LED configuration specified on the VSS122D24.041P-000 sensor?

A: The VSS122D24.041P-000 is equipped with 16 infrared LEDs arranged in four segments, each with four one-color LEDs.

Q: What processor does the VSS122D24.041P-000 smart sensor use and its clock speed?

A: This sensor utilizes a Cortex A9 i.MX6 quad core processor running at 800 MHz.

Q: What is the imaging resolution and vision functionality available with the VSS122D24.041P-000?

A: The VSS122D24.041P-000 supports a smart vision function and delivers a resolution of 3.5 megapixels.


Internal Product Review

  • ‘‘The VSS122D24.041P-000 from B & R Automation is a smart sensor equipped with a 3.5 MP resolution and a frame rate of 43 fps, making it highly effective for precise machine vision tasks. Featuring a Cortex A9 i.MX6 quad core processor with 2 GB RAM, this sensor handles demanding image processing with efficiency. The integrated IR lighting and anti-reflective coated glass front further enhance imaging performance, making it a strong choice for integrated machine vision applications.’’

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