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Home - News - Selecting Global Shutter Sensors: Technical Trade-offs Between OG02B10 and AR0234

Selecting Global Shutter Sensors: Technical Trade-offs Between OG02B10 and AR0234

February 4, 2026

During the sensor selection process for machine vision applications, devices with identical resolution can exhibit vastly different system-level performance due to variations in their underlying architecture and design objectives. OmniVision's OG02B10 and onsemi's AR0234—both 2MP global shutter sensors—demonstrate distinct positioning in pixel design, frame rate capability, and spectral optimization. Understanding these technical trade-offs is essential for optimizing the system-level design of camera modules.

 

Differentiated Choices in Pixel Architecture and Optical Format

Both sensors employ 3.0μm×3.0μm pixel dimensions, yet diverge in optical format and resolution configuration. The AR0234 utilizes a 1/2.6-inch optical format with a 1920×1200 (2.3MP) effective pixel array, offering larger photosensitive area and wider field-of-view coverage compared to the OG02B10's 1/2.9-inch format and 1600×1300 (2.0MP) array. This distinction directly translates to enhanced photon collection capability: under equivalent illuminance conditions, the AR0234 demonstrates superior pixel full-well capacity and signal-to-noise ratio (SNR) performance, conferring stronger adaptability in low-light industrial inspection and outdoor perception scenarios.
However, the expansion of optical format entails non-trivial costs. The AR0234's 1/2.6-inch specification necessitates larger-diameter optical lenses (typically M12 mount or above), which poses mechanical integration challenges in space-constrained drone payloads or AR eyewear frames. Conversely, the OG02B10's 1/2.9-inch format, with its more compact die size (7.2mm×6.1mm CSP package) and 15° chief ray angle (CRA) design, enables adaptation to thinner optical modules, demonstrating higher spatial utilization efficiency in consumer-grade wearable devices.

Conditional Advantages in Frame Rate and Dynamic Range

In the temporal performance dimension, the AR0234 achieves full-resolution frame rates of 120fps (1920×1200), representing a multiplicative improvement over the OG02B10's 60fps (1600×1300). This differential stems from onsemi's innovative optimization in global shutter pixel design, enabling superior motion blur suppression at higher velocities in applications such as industrial barcode scanning and AMR navigation. More critically, the AR0234's dynamic range reaches 82dB, significantly exceeding the OG02B10's 68-70dB interval, which implies that in high-contrast scenarios—such as license plate recognition under backlight conditions or outdoor surveillance—the AR0234 preserves richer highlight and shadow details, reducing information loss from exposure trade-offs.
Yet the advantages in frame rate and dynamic range must be examined within the constraint framework of power consumption and interface bandwidth. The AR0234's 120fps mode typically requires MIPI CSI-2 dual-lane interfaces and high-performance ISPs, which may trigger power bottlenecks in battery-operated edge devices. While the OG02B10 exhibits slightly inferior absolute performance metrics, its flexibility in supporting both DVP parallel interface and dual-lane MIPI provides more relaxed power management margins for cost-sensitive applications. Furthermore, the OG02B10's integrated 128-byte OTP memory and programmable windowing functions confer greater autonomy upon module manufacturers regarding production-line calibration and region-of-interest (ROI) extraction—characteristics that demonstrate significant engineering value in industrial vision systems requiring batch customization.

Ecosystem Compatibility and Supply Chain Resilience as Latent Dimensions

From a system integration perspective, the AR0234—through onsemi's long-term positioning in industrial vision—has established deep adaptation ecosystems with mainstream edge computing platforms including NVIDIA Jetson, Raspberry Pi, and Luxonis OAK. This ecosystem maturity directly translates to compressed development cycles: module manufacturers may rely on readily available driver programs and ISP tuning solutions to accelerate product commercialization. In contrast, while the OG02B10 similarly supports mainstream platforms, its ecosystem toolchain richness and community support density are marginally inferior, potentially requiring additional firmware adaptation investment during project initiation phases.
However, the geographic distribution of supply chains and capacity resilience also constitute latent variables in selection decisions. As a China-based CMOS design leader, OmniVision's supply chain responsiveness and localized technical support capabilities confer significant advantages among Asia-Pacific module manufacturers. For projects requiring rapid iteration or facing sudden capacity fluctuations, the OG02B10's supply stability may constitute a critical decision factor.

Conclusion: Scenario-Driven Technical Adaptation

In summary, the technical distinctions between OG02B10 and AR0234 do not represent a simple performance hierarchy; rather, they constitute architecture-level responses to differentiated application scenarios. The AR0234, with its expanded optical format, superior dynamic range, and high-speed frame rates, emerges as the preferred solution for industrial automation, outdoor surveillance, and high-contrast applications. The OG02B10, leveraging its compact packaging, flexible interface configuration, and supply chain advantages, demonstrates higher adaptability in consumer AR/VR, drone payloads, and space-constrained edge devices. The core task facing module designers lies in accurately mapping the optical requirements, power constraints, and supply chain risks of target applications, thereby rendering selection decisions between these homologous yet divergent sensors that conform to system-level optimality principles.