Product | ADAS & DMS

Self-Calibration

Self-Calibration: AI-Powered Precision for Smarter AI Cameras

Accurate calibration is essential for unlocking the full potential of Smarter AI cameras.  Self-Calibration is an AI-driven feature that automatically fine-tunes camera calibration after mounting or adjustment. 

It ensures optimal video capture by adjusting focus, exposure, and field of view, delivering precise video for Smarter AI ADAS and DMS without the need for manual calibration.  This feature guarantees consistent performance across multi-driver vehicles and diverse vehicle types, including left-hand drive, right-hand drive, and dual-drive vehicles.

What is Self-Calibration?

Self-Calibration allows Smarter AI cameras to automatically adjust critical settings based on their mounted position and alignment.  Once the cameras are initially aligned through Adjustment Mode, Self-Calibration takes over, continuously fine-tuning focus, exposure, and field of view to adapt to various environments and vehicle configurations.  This feature supports fleets with multiple drivers, vehicles with different mounting positions, and left-hand, right-hand, or dual-drive configurations, ensuring optimal camera performance regardless of the setup.

Why use Self-Calibration?

Self-Calibration eliminates the need for manual recalibration, saving time and minimizing the risk of human error. It ensures that cameras stay properly aligned and deliver precision data, even as conditions like lighting or road environments shift. This ensures reliable ADAS and DMS data, improving overall system accuracy and performance.

Self-Calibration eliminates the need for manual calibration, saving time and minimizing the risk of human error.  By automatically adjusting to changing conditions such as drivers, roads, and vehicle setups, it ensures accurate video capture for Smarter AI ADAS and DMS.  Self-Calibration is especially valuable for fleets with multiple drivers, vehicles that switch between left-hand, right-hand, or dual-drive modes, and vehicles requiring frequent camera remounting and alignment.

When does Self-Calibration Happen?

Self-Calibration is automatically triggered after the camera is mounted and aligned using Adjustment Mode. It runs continuously in the background, recalibrating the cameras as needed to adapt to environmental changes or after camera remounting, ensuring optimal performance over time.

How does Self Calibration Work?

Once activated, Self-Calibration uses the camera’s AI engine to assess the mounted position and alignment, making automatic adjustments to focus, angle, exposure, and other key settings. This process ensures precise video capture, even as conditions change - such as varying lighting, driver changes, or vehicle types. It is particularly effective for vehicles that shift between left-hand, right-hand, or dual-drive modes, ensuring seamless operation across different driving configurations.

With Self-Calibration, Smarter AI cameras automatically adjust to maintain optimal alignment and performance, ensuring accurate and trusted data collection with minimal intervention. Whether used in multi-driver fleets, left-hand drive, right-hand drive, or dual-drive vehicles, or in cases where cameras need remounting, Self-Calibration guarantees precise ADAS and DMS functionality, streamlining operations across diverse fleet environments.





FAQ: Self-Calibration

  • Self-Calibration is an AI-powered feature that automatically adjusts Smarter AI cameras after installation or adjustment. It fine-tunes settings like focus, exposure, and field of view based on the camera’s mounted position, ensuring optimal performance for ADAS and DMS systems without the need for manual recalibration.

  • Once triggered, Self-Calibration uses the camera’s AI engine to evaluate its mounted position and field of view. It makes automatic adjustments to critical settings such as focus, exposure, and angle to ensure precise data capture. This process continuously adapts to environmental changes like lighting or vehicle configuration without requiring manual intervention.

  • Self-Calibration is automatically activated after the camera is mounted and aligned through Adjustment Mode. It continues running in the background, recalibrating the camera as needed when changes in the environment, vehicle setup, or driving conditions occur.

  • Self-Calibration eliminates the need for manual recalibration, saving time and minimizing the risk of human error. It ensures cameras stay aligned and accurate despite changes in lighting, road environments, or vehicle configurations, making sure ADAS and DMS data is reliable and consistent.

  • Yes, Self-Calibration is designed to accommodate multi-driver fleets, left-hand drive, right-hand drive, and dual-drive vehicles. It automatically adjusts to different drivers and vehicle configurations, ensuring the cameras deliver optimal performance regardless of the setup.

  • Self-Calibration supports various vehicle configurations, including those with left-hand drive, right-hand drive, and dual-drive capabilities. It is also valuable for vehicles that require frequent camera remounting or adjustment due to maintenance or changes in mounting positions.

  • If a camera is repositioned due to vehicle maintenance or changes in mounting location, Self-Calibration will automatically recalibrate the camera, adjusting its settings to maintain optimal performance. This ensures the camera remains aligned and functional after remounting.

  • Yes, Self-Calibration is fully automated and does not require any manual input once it is activated. The system continuously monitors the camera’s performance and makes real-time adjustments as needed to ensure optimal data capture.

  • By automating the calibration process, Self-Calibration ensures consistent and reliable camera performance across entire fleets. It reduces downtime for recalibration, ensures accurate data capture in multi-driver fleets, and adapts to different vehicle configurations, enhancing the overall efficiency of fleet operations.

  • Self-Calibration automatically adjusts to environmental changes such as lighting, road conditions, or vehicle orientation. It continuously monitors and recalibrates the cameras to maintain optimal performance, ensuring accurate data capture even in dynamic conditions.

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