Global - EN
Understanding OODPCVS, the new image detail classification framework in IEC 62676-4:2025
Video monitoring standards play a key role in the development of the industry. Last year, the well-known DORI framework, which was introduced in 2014, was replaced by OODPCVS, a new, more sophisticated classification which better reflects the needs of modern technologies. In response to this shift, Hikvision is actively aligning its products and design resources to support our partners in navigating this transition to higher industry standards.
As technology advances, so the relevant industry standards that govern it need to evolve. Last year, the IEC 62676-4:2025 standard, which is published by the International Electrotechnical Commission (IEC), introduced a major update to how image detail levels are classified and evaluated in video monitoring systems. This reflects significant advances in digital imaging, AI-driven video analytics, and the growing need for more refined visual detail definitions in modern security applications.
Since the previous edition of the standard was released in 2014, several key developments combined to make an update essential.
Perhaps the most significant of these has been the substantial advances in camera resolution. Today’s video systems rely on high-resolution and multi-sensor cameras. These greatly out-perform the technical assumptions made in the Detection, Observation, Recognition, and Identification (DORI) image detail classification framework that was introduced in 2014.
Since 2014, AI-driven analytics has transformed the capability of video monitoring systems. Today they detect motion, people, vehicles, and animals, are used for identifying individuals, reading vehicle license plates and analyzing activities and events. But all of these applications depend on high granularity of pixel density within the video. Moreover, each use case requires a specific level of image detail, which the older framework could not sufficiently describe.
Since the DORI classification was introduced, the range of industries which have adopted video monitoring technology has greatly increased. Video-based applications are now widely used in transportation, energy, retail, and logistics. At the same time, the application scenarios have grown significantly in complexity. These increasingly diverse deployments demand more consistent and precise definitions of image requirements to ensure reliable performance.
DORI’s simplicity made it widely adopted, but it also introduced limitations. With only four broad levels (Detection, Observation, Recognition, and Identification), it was not well-suited for describing nuanced tasks or meeting the precision required by modern video analytics. This created the need for a more flexible, granular framework.
To address these evolving needs, the 2025 standard introduces a more detailed image detail classification framework – Overview, Outline, Discern, Perceive, Characterize, Validate, and Scrutinize (OODPCVS). With these seven clearly defined levels, the OODPCVS framework offers a more modern, AI-ready evolution of the DORI framework, providing explicit guidance for determining the required camera resolution for diverse applications.
For example, the pixel density required to identify a person or read a license plate is raised from 250 px/m (classified in the DORI framework as “Identification”), to 500 px/m (classified as “Validate” in OODPCVS). This ensures sufficient image detail, especially in low-light conditions or dynamic scenes with motion blur.
DORI: Four-level image detail classification
DORI, based on IEC 62676-4:2014, defines four levels of image detail required to perform certain operations:
OODPCVS: Seven-level image detail classification
The new IEC 62676-4:2025 standard introduces seven categories of operations and image detail levels:
The OODPCVS framework ensures that video monitoring systems can better support real-world operational needs, enhancing accuracy, reliability, and system design workflows.
Designers can now define more precise pixel density targets for each monitored zone, enabling better informed camera and lens selection. This gives end users and operators confidence that the system will perform as intended.
Each AI task can be matched to a defined combination of operation and pixel density level. For example, “Classified Object Detection at Perimeters” could be defined as “Discern” at 80 px/m. “Vehicle Feature Analysis” could be “Characterize” at 250 px/m. “Facial Recognition” might be “Validate” at 500 px/m, and “Forensic Detail Capture” defined as “Scrutinize” at 1500 px/m.
The higher clarity levels required by OODPCVS will improve reliability and efficiency of video analytics and incident investigation and will give operators better overall situation awareness.
Manufacturers, system integrators, installers, and end users can reference the same set of classification definitions, improving collaboration and reducing ambiguity.
The evolution of IEC 62676-4 represents an important advancement for the security industry, aligning image detail classification with modern digital imaging and AI-driven use cases.
As the industry moves toward the IEC 62676-4:2025 standard and the OODPCVS framework, we recognize how essential it is for our partners to work with tools and products that reflect the latest requirements.
Hikvision is now actively updating product specifications, system design tools, and other related resources. These updates will help partners plan camera placements more precisely and design projects with greater confidence.
We remain committed to providing clear guidance and future-ready solutions that support both the new standard and legacy deployments—ensuring that every project meets the performance levels and operational requirements defined by customers.
Newsroom
Explore the latest news, customer stories, and industry insights from Hikvision
Hikvision.com uses strictly necessary cookies and related technologies to enable the website to function. With your consent, we would also like to use cookies to observe and analyse traffic levels and other metrics / show you targeted advertising / show you advertising on the basis of your location / tailor our website's content. For more information on cookie practices please refer to our cookie policy.
