Built for robotics vision, automated inspection, and machine vision applications that examine scenes combining both bright and shadowed regions in the same frame, this camera pairs the Onsemi AR1335 sensor with ROI-based auto exposure and VCM autofocus over GigE Vision, giving machine vision integrators accurate exposure across complex lighting without a single global exposure setting forcing a compromise.

BOSTON, MA / ACCESS Newswire / September 3, 2026 / Vadzo Imaging, a world leader in embedded vision solutions, today announces the validation of ROI based Auto Focus and Auto Exposure the Innova-1335CRA, a 13MP Autofocus GigE Camera built around the Onsemi AR1335 sensor for robotics vision, automated inspection, and machine vision applications that need accurate exposure across complex, mixed lighting scenes.

Why Machine Vision Needs a 13MP Autofocus GigE Camera Built for ROI-Based Auto Exposure

Machine vision and inspection scenes routinely combine bright reflective surfaces with shadowed recesses within the same single frame, and a standard auto exposure system that reads the entire frame as one global average produces a compromise setting that renders neither region correctly, regardless of how the settings are adjusted. A bright surface exposed for that global average often blows out entirely, while a shadowed region exposed for the same average loses meaningful detail, regardless of how carefully that single global setting is tuned.

An AR1335 ROI GigE Camera approaches that problem by defining specific regions of interest within a frame and calculating exposure for each region independently, rather than relying on one compromise setting for an entire scene. A Region-Based Exposure Camera configuration like this one gives machine vision integrators accurate exposure specifically where a task actually needs it, rather than an average that serves no single region particularly well.

A second, related challenge is maintaining focus as a robotics platform or inspection station examines parts at varying distances. A 13MP ROI Autofocus GigE Camera addresses that challenge with VCM autofocus, adjusting focus electronically alongside the region-specific exposure handling.

Neither challenge exists in isolation on a real inspection line. A camera that solves region-specific exposure but cannot maintain focus at a varying working distance still produces a soft, unreliable frame, and a camera with excellent autofocus but only a single global exposure reading still fails the moment a scene combines bright and shadowed regions. Solving both from the same sensor platform is what makes a camera genuinely suited to demanding machine vision tasks rather than adequate on only one specification.

Engineering Explanation: Region-Specific Exposure and Autofocus Together

Onsemi designed the AR1335 as a 13-megapixel sensor, and Vadzo Imaging pairs that sensor with ROI-based auto-exposure processing specifically for machine vision and robotics applications examining scenes with genuine, real-world lighting complexity. As an Onsemi AR1335 ROI Camera, the sensor lets integrators define specific regions within a frame and calculate exposure independently for each one, rather than accepting a single compromise setting across an entire scene.

That region-specific exposure works alongside the sensor’s autofocus capability rather than as a separate, conflicting system. As an AR1335 Auto Exposure Sensor, the Innova-1335CRA manages exposure zones and focus adjustment as complementary functions, and an AR1335 ROI Autofocus Module configuration like this one gives machine vision integrators both region-specific exposure accuracy and consistent focus from the same hardware.

GigE Vision connectivity is what makes this sensor deployable across a machine vision network rather than as an isolated installation. As an AR1335 GigE Vision Module, the Innova-1335CRA integrates directly with the GenICam-compliant software most machine vision systems already run, and an Auto Exposure GigE Sensor configuration like this one reaches robotics and inspection stations over standard Ethernet infrastructure a facility already maintains.

Resolution and region-specific exposure work together to give integrators genuine flexibility for demanding inspection tasks. As an ROI-Based Auto Exposure Ethernet Camera, the Innova-1335CRA resolves fine detail within each independently exposed region, and an ROI Autofocus Ethernet Sensor configuration like this one combines that region-specific accuracy with the autofocus range a varying working distance requires.

Product Overview

The Innova-1335CRA pairs the Onsemi HyperLux LP AR1335 Sensor with ROI-based auto exposure and VCM autofocus in a compact design suited to robotics, inspection, and machine vision network integration. As a 4K GigE Auto Exposure Camera, it outputs full 13-megapixel resolution with region-specific exposure and autofocus active by default, giving machine vision integrators a single camera platform that covers complex lighting scenes, varying working distances, and general-purpose robotics vision from one module.

At the core of the module sits the 13MP ROI Auto Exposure Camera sensor, chosen specifically for the combination of region-specific exposure handling and autofocus flexibility that machine vision applications require. Because the camera pairs 13MP Auto Exposure Sensor Module exposure accuracy with 13MP ROI GigE Sensor connectivity, the Innova-1335CRA reaches usable image quality across scenes that would defeat a standard single zone auto exposure system.

Product Specifications

Key specs: 13MP (4208 × 3120) Max Resolution | Onsemi AR1335, 1/3.2-inch Sensor Format | 1.1 µm Pixel | Color, Rolling Shutter | Gigabit Ethernet Interface | VCM-based Autofocus with Focus Range of 100mm to Infinity

Key Capabilities

Onsemi AR1335 Sensor for Detailed 13MP Machine Vision Capture: The Innova-1335CRA is built around the Onsemi AR1335 sensor, a device that resolves genuine 13 megapixel detail for robotics and inspection applications examining scenes with real lighting complexity. This gives the module ROI Machine Vision GigE Camera performance suited to tasks that need to examine both bright and shadowed regions accurately within the same frame. That accuracy matters directly for inspection tasks where a genuine defect could hide in either the overexposed highlight of a reflective surface or the underexposed shadow of a recessed feature, depending on which region a standard exposure setting happened to favor.

ROI-Based Auto Exposure for Accurate Exposure Across Complex Scenes: A single global auto exposure reading forces a compromise between a scene’s brightest and darkest regions, which becomes a genuine limitation for inspection tasks examining parts with both reflective surfaces and shadowed recesses. As a Smart Exposure GigE Vision Camera, the Innova-1335CRA calculates exposure independently for each defined region, and an Adaptive Exposure GigE Camera configuration like this one avoids the blown-out highlights or lost shadow detail a single global setting would introduce. That independent calculation matters directly for inspection algorithms that depend on consistent, accurate pixel values within a specific region, since a compromised exposure setting can distort measurement or defect detection results regardless of how sophisticated the downstream analysis software happens to be.

VCM Autofocus for Consistent Focus Across Varying Working Distances: Robotics platforms and inspection stations rarely examine parts at a perfectly consistent working distance, and a fixed focus lens tuned for one assumed distance produces a soft image the moment actual use deviates from that assumption. As a Smart ROI Ethernet Camera, the Innova-1335CRA’s VCM autofocus adjusts electronically as working distance changes, keeping a part in focus alongside the region-specific exposure handling. That combination matters directly for stations examining parts of varying sizes on the same line, since a fixed focus setting tuned for one part dimension would produce unreliable results the moment a different-sized part moves through the same inspection point.

GigE Vision Compliance for Standardized Machine Vision Integration: A camera built on a proprietary protocol becomes an isolated component rather than a working part of a machine vision system’s existing software ecosystem. As a GigE Vision ROI Module, the Innova-1335CRA speaks the GigE Vision and GenICam standards that most machine vision software already supports, so a new camera integrates the same way any other standard GigE Vision device would. That standard compliance matters directly for integrators who have already invested in a GenICam-compliant software stack, since a new camera can join that existing environment without requiring custom driver development or a separate software integration effort.

Compact Design for Robotics and Inspection Integration: Robotic end effectors and inspection station mounting positions often have limited space, leaving little room for a camera and its supporting electronics without a significant redesign. The Innova-1335CRA’s compact design fits into that constrained space, integrating directly into existing robotics and inspection hardware without requiring a custom mounting redesign. As a 4K Autofocus Gigabit Ethernet Camera, it also fits directly into Vadzo Imaging’s broader 4K autofocus camera portfolio, and as a 4K Autofocus Ethernet Camera, it gives integrators a consistent point of comparison against other autofocus GigE modules in the same product family. That portfolio consistency matters for manufacturers standardizing on a single sensor family across multiple machine vision product tiers, since qualifying one platform across several configurations is considerably less engineering work than qualifying a different sensor for each tier.

OEM Ready Design for Machine Vision Equipment Manufacturers: Machine vision equipment manufacturers producing units at scale need a camera platform that stays consistent across a long production run, from early prototype validation through full-scale manufacturing. Vadzo Imaging supports full customization on this platform as a GigE ROI Camera Kit, including connector changes, optics selection, and firmware adjustments for manufacturers headed into volume production across multiple machine vision product lines. That customization extends to ROI exposure zone configuration as well, since a manufacturer building equipment for a highly reflective metal fabrication line may need a different default zone layout than one building equipment for a matte plastic assembly process, even though both rely on the same underlying sensor.

“Machine vision integrators keep telling us the same thing: a single global auto exposure reading cannot serve a scene that combines a bright reflective surface with a shadowed recess in the same frame, no matter how carefully that one setting is tuned. The AR1335’s ROI-based auto exposure combined with VCM autofocus gives the Innova-1335CRA the accuracy machine vision inspection actually needs, without asking an integrator to accept a compromise setting across an entire complex scene. We built this camera for scenes that are genuinely difficult to expose, not a single evenly lit test target.” – Alwin Vincent, Product Manager at Vadzo Imaging.

Application-Specific Sections

Robotics Vision with Region-Specific Exposure: Robotic vision tasks examining a work cell with both bright task lighting and shadowed equipment recesses need exposure accuracy that a single global reading cannot provide. As an Auto Exposure Robotics GigE Camera, the Innova-1335CRA’s ROI-based exposure supports that accuracy, and functioning as an ROI Vision Ethernet Module, it extends the same capability to broader robotics vision tasks throughout a work cell.

Automated Inspection with Complex Lighting: Automated inspection stations examining parts with both reflective metal surfaces and shadowed features need region-specific exposure to catch a genuine defect in either area. As an ROI Autofocus Inspection Camera, the Innova-1335CRA delivers that region-specific accuracy, and a GigE Auto Exposure Inspection configuration of the same module extends the same reliability to broader quality verification tasks on the same line.

Machine Vision for Mixed Lighting Environments: Machine vision tasks operating in facilities with mixed ambient and task lighting need a camera that adapts its exposure approach to whatever specific lighting a given scene presents. The Innova-1335CRA’s ROI-based auto exposure supports that adaptability, giving integrators confidence that image quality holds up regardless of which specific lighting combination a station happens to encounter. That confidence matters directly for facilities that cannot practically standardize lighting across every camera position, since retrofitting consistent lighting infrastructure across an entire existing facility is often far more costly than deploying a camera that adapts to the lighting already in place.

Multi-Camera GigE Vision Networks: Machine vision networks running multiple synchronized camera units need every one to handle its own local lighting conditions without requiring a facility-wide lighting standardization effort. The Innova-1335CRA’s GigE Vision connectivity and ROI-based exposure work together to give each camera in a network the flexibility to expose correctly for its own specific mounting position and lighting environment.

OEM Integration for Machine Vision Equipment Manufacturers: Machine vision equipment manufacturers building their own robotics, inspection, or quality control hardware need a camera vendor who understands the exposure and connectivity requirements those systems demand. The Innova-1335CRA ships from an ROI GigE Camera Manufacturer with those requirements built in, and Vadzo Imaging supports OEM customization for cable length, connector type, and firmware for manufacturers standardizing on one camera across multiple machine vision product lines. As a 4K Autofocus Camera Module, it fits directly into a manufacturer’s existing platform architecture.

Frequently Asked Questions

Q: What is ROI-based auto exposure, and how is it different from standard single zone auto exposure?

A: Standard auto exposure reads brightness across an entire frame and calculates a single exposure setting meant to serve the whole scene, which works reasonably well for a scene with fairly uniform lighting but produces a genuine compromise the moment that scene combines both bright and dark regions. ROI-based auto exposure instead lets an integrator define specific regions within a frame and calculates exposure independently for each one, so a bright reflective surface and an adjacent shadowed recess can both be exposed correctly within the same captured frame rather than averaged into one setting that serves neither well. The Innova-1335CRA builds this region-specific capability in directly because real machine vision and inspection scenes are rarely as evenly lit as a single global exposure reading assumes. Integrators evaluating this capability should define regions around the specific features a task actually needs to examine accurately, rather than dividing a frame arbitrarily, since the value of region-specific exposure comes from matching those regions to genuine points of inspection interest.

Q: Why does machine vision inspection specifically benefit from ROI-based auto exposure rather than standard auto exposure?

A: An inspection task often needs to examine multiple features on the same part simultaneously, and those features do not always share the same lighting condition, since a reflective machined surface and an adjacent recessed or textured area can present very different brightness levels within the same single frame. A standard auto exposure system forced to average across both regions will underexpose one, overexpose the other, or land on a middle setting that shows neither with the accuracy an inspection decision requires. The Innova-1335CRA’s ROI-based auto exposure solves that specific problem by treating each defined region independently, giving an inspection algorithm accurate detail in every region that actually matters rather than a single averaged compromise.

Q: Can ROI-based auto exposure and autofocus work together on the same camera without conflicting?

A: Yes, since region-specific exposure and autofocus solve two related but distinct problems- exposure accuracy within defined regions and overall focus across a working distance- and the Innova-1335CRA is designed to manage both as complementary functions rather than as competing systems. Autofocus establishes sharp focus across the frame as working distance changes, while ROI-based auto exposure then calculates correct brightness within the specific regions an integrator has defined, and neither function interferes with the other’s underlying calculation. Vadzo Imaging validated this combination specifically because robotics and inspection applications frequently need both varying focus distance and complex, non-uniform lighting handled correctly at the same time, not as separate problems to solve with separate hardware.

Q: Can Vadzo Imaging customize a 13MP autofocus GigE camera module for a specific machine vision or robotics platform?

A: Yes. Vadzo Imaging supports full OEM customization on the Innova-1335CRA, including optics selection suited to a specific working distance or field of view, connector and cable configuration matched to a particular robotics or inspection station design, and firmware adjustments tuned for a specific ROI exposure or autofocus profile. Evaluation units ship with no minimum order requirement, and the same engineering team that built the standard product works directly with machine vision equipment manufacturers to adapt the module for a specific robotics, inspection, or quality control platform headed into volume production.

Q: What should machine vision system integrators look for when choosing a GigE camera supplier for complex, mixed lighting inspection tasks?

A: A camera that performs well under a single evenly lit bench test does not necessarily deliver the same accuracy once deployed on a real part combining bright reflective surfaces and shadowed recesses within the same inspection frame. Integrators should look for genuine region-specific exposure control validated on realistic, non-uniform lighting scenarios rather than a single controlled test condition, autofocus that holds up across the actual working distance variation a station presents, and a supplier able to support customization for a specific inspection challenge. The Innova-1335CRA is built around exactly these priorities, since a camera that only handles simple, evenly lit scenes well is not actually solving the exposure problem a genuinely complex inspection task presents.

Availability

The Innova-1335CRA 13MP Autofocus GigE Camera is available now and ready for evaluation and OEM integration. Evaluation kits include the camera module, mounting hardware, and integration documentation covering ROI exposure configuration and autofocus setup, with no minimum order requirement. Contact Vadzo Imaging at support@vadzoimaging.com to request an evaluation unit or discuss volume production and OEM customization. Evaluation feedback is also welcome directly through the same contact channel, since real production line deployment conditions often surface details a bench test alone would not reveal, and that feedback helps confirm a configuration before a manufacturer commits to a full production order, particularly when a specific inspection task presents lighting complexity a general evaluation might not fully anticipate.

About Vadzo Imaging

Vadzo Imaging develops embedded and machine vision camera products for OEMs, system integrators, and machine vision equipment manufacturers building production-ready vision systems across robotics, industrial automation, quality control, and edge AI. The company’s portfolio spans MIPI CSI-2, USB, GigE, Wi-Fi, FPD-Link III, and SerDes interface camera products, supporting deployment architectures from compact onboard modules to distributed networked installations. Vadzo provides end-to-end imaging support, including sensor integration, ISP tuning, firmware development, and SDK frameworks to accelerate system deployment, and the company’s engineering team works directly with customers throughout evaluation, pilot deployment, and volume production rather than handing off support after the initial sale. That ongoing engineering relationship matters most for machine vision programs, where a camera platform may remain part of a production line for years after initial deployment, often across facility expansions and process changes the original deployment never anticipated. Visit Vadzo Imaging to explore the full embedded vision camera portfolio.

Media Contact

Alwin Vincent
Vadzo Imaging
Email: alwin@vadzoimaging.com
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SOURCE: Vadzo Imaging

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