OpenCV Test

This OpenCV Test evaluates candidates' expertise in computer vision, image processing, and implementing real-world AI solutions using OpenCV. It helps recruiters identify developers with strong knowledge of algorithms and practical problem-solving skills. With iMocha's skill-based assessments, organizations can streamline hiring and onboard engineers capable of building advanced image recognition and vision-based applications.

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OpenCV Online Test

OpenCV (Open Source Computer Vision Library) is a type of machine learning software library and was built to provide a common infrastructure for computer vision applications to accelerate the use of machine perception in commercial products. Being an open-source type library, OpenCV has more than 2500 optimized algorithms that includes a set of both classic and state-of-the-art computer vision and machine learning algorithms.

These algorithms can be used to detect and recognize faces, identify various objects, classify some human actions in videos, track camera movements, track moving objects, etc. OpenCV online test helps tech recruiters and hiring managers to assess candidates OpenCV skills. OpenCV skills test is designed by experienced subject matter experts (SMEs) to evaluate and hire computer vision engineer as per the industry standards.

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How it works

Test Summary

OpenCV online test helps to screen candidates who possess skills as follows:

Good experience of using OpenCV software library
Knowledge of using functions like Shape functions in OpenCV
Knowledge of upper limit and lower limit function
Understanding of background subtractor and diagonal points in the library
Familiarity with terms like Webcam and biomolecule compunds

OpenCV skills test is a secure and reliable assessment. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation, image, audio/ video proctoring help detect cheating during the test.

This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.

Useful for hiring

CV/ML Engineer
Image Processing / Software Developer
Computer Vision Engineer - OpenCV
Artificial Intelligence Engineer - OpenCV
Android Developer using OpenCV

Test Duration

min

No. of Questions

Level of Expertise

Entry level/Mid/Senior

Topics Covered

Background Subtractor

Assesses knowledge of background subtraction techniques used in motion detection. Includes use of MOG2, KNN algorithms, and dynamically separating foreground objects from static backgrounds in videos.

Shape Functions used in OpenCV

Evaluates understanding of OpenCV functions for shape detection and analysis, such as findContours, approxPolyDP, boundingRect, and how they apply to object recognition tasks.

Webcam

Tests proficiency in capturing and processing real-time video streams using a webcam with OpenCV. Includes initializing video capture, reading frames, and performing live image analysis.

Lower Limit and Upper Limit Functions

Assesses the use of inRange() function in OpenCV to define color thresholds. Covers setting lower and upper bounds for masking specific objects or features in images based on color space.

Biomolecules Compounds

Evaluates the application of OpenCV techniques to analyze biomolecular imagery. May include detecting protein bands, molecular structures, or cellular components in biomedical image processing.

Diagonal Points

Tests understanding of identifying and working with diagonal points in images. Includes calculating distances, bounding boxes, and region selection for transformations or feature extraction.