## Problem You are designing a security camera management system for a building. Each camera has a field of view represented as a 2D polygon. Given the floor plan as a rectangle and N camera polygons, determine what fraction of the floor area is covered and identify uncovered zones. ```python from typing import List, Tuple Point = Tuple[float, float] Polygon = List[Point] class SecurityCameraSystem: def __init__(self, floor_width: float, floor_height: float): ... def add_camera(self, cam_id: str, fov: Polygon) -> None: ... def coverage_fraction(self) -> float: ... def uncovered_regions(self) -> List[Polygon]: ... ``` **Scenario:** 4 cameras cover a 100x50 m floor. A new regulation requires 95% coverage. Your system must flag if the requirement is not met. ## Follow-ups 1. How do you compute the union area of N potentially overlapping polygons? 2. What is the inclusion-exclusion principle and how does it apply here? 3. For large buildings with 500 cameras, how would you spatially index FOVs to speed up coverage queries? 4. How would you handle camera blind spots created by walls or obstacles within the floor plan?

InterviewDB Experience

Security Camera System: Design a Coverage Verification System for a Camera Network

Onsite

Interview Experience

Problem You are designing a security camera management system for a building. Each camera has a field of view represented as a 2D polygon. Given the floor plan as a rectangle and N camera polygons, determine what fraction of the floor area is covered and identify uncovered zones. Scenario: 4 cameras cover a 100x50 m floor. A new regulation requires 95% coverage. Your system must flag if the requirement is not met. Follow-ups How do you compute the union area of N potentially overlapping polygons…

Full Details

🔒

Unlock all Verkada questions

Full insider details, leaked discussions, and candidate experiences.

Get full access — from $50/mo

About This Question

This is a candidate experience report from a verkada interview during the onsite round.

It covers the following topics: Coding, Onsite, Pair Programming .

Topics

Coding Onsite Pair Programming

About Verkada Interview Reports

This question was reported by a candidate who interviewed at Verkada. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Verkada are the higher-signal extractions to take from this report.

For broader preparation context, the Verkada interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Verkada reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Verkada Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in Verkada reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.