Transforming Video Surveillance Through AI-Powered Quality Assurance
A global leader in cloud-based video surveillance, providing AI-powered solutions for businesses, law enforcement, and organizations to enhance security, analytics, and operational efficiency across diverse environments.
Video Surveillance & AI Security
2+ years (ongoing)
15+ Quality Engineers
Quality Engineering Services
12000+
Test Cases
85%
Automation Coverage
12
Major Releases
2500+
Defects Logged
Robot Framework • Selenium • Playwright • Postman
Locust • JMeter • Artillery • Grafana Dashboard
QMetry • Test Case Repository • Defect Tracking
AWS • CI/CD Pipelines • Docker • Kubernetes
The client faced critical quality engineering challenges as their AI-powered surveillance platform rapidly expanded across multiple products and markets.
No comprehensive assessment of current QA maturity levels and clear improvement roadmap
Rapid platform growth required robust automation framework to maintain quality standards
Heavy reliance on manual testing slowed release cycles and limited test coverage
Inconsistent test tracking across projects impacted traceability and collaboration
Limited performance testing capabilities to validate system scalability under load
Manual deployment processes delayed feedback and increased time to market
As a dedicated QA and automation partner, Innocito implemented a structured Quality Engineering framework, aligning with client stakeholders to drive efficiency, innovation, and measurable quality improvements.
Comprehensive analysis of existing processes with maturity scoring and improvement roadmap
Defined tailored QE processes aligned with stakeholders, embedded QEs in PODs for agile execution
Centralized test repository with optimized case management, execution tracking, and enhanced reporting
Scalable automation using Robot Framework, Selenium, Playwright with API testing via Postman
Evaluated tools (JMeter, Locust, Artillery), implemented Locust with Grafana for load testing
Automated tests integrated into pipelines for early detection and faster deployment cycles
Quality Assessment & Process Excellence
Conducted comprehensive QA assessment analyzing existing testing processes, Provided maturity rating identifying gaps in automation, test management, and performance, • Delivered QA Implementation Roadmap with short-term and long-term milestones, Established baseline metrics for continuous improvement tracking
Defined and tailored QE processes aligned with client stakeholder requirements, Embedded SDETs and Manual QEs into respective PODs for seamless agile execution, Introduced shift-left testing methodology enabling early defect detection, Implemented quality gates at each stage of the development lifecycle
Optimized QMetry for comprehensive test case management and execution tracking, Centralized test repository improving test coverage and traceability across projects, Enhanced defect tracking and reporting ensuring better team collaboration, Real-time dashboards providing visibility into quality metrics and trends
Built scalable automation framework using Robot Framework, Selenium, and Playwright, API testing integrated with Postman ensuring seamless backend communication validation, Continuous regression and integration testing for Web3, API, Mobile, and AI Experience, Achieved 80% automation coverage across UI and API test suites within 6 months
Evaluated multiple performance testing tools: JMeter, Locust, and Artillery, Conducted proof of concept (POC) for each tool to determine best fit, Selected Locust for implementation with integration to Grafana Dashboard, Established load and stress testing scenarios simulating real-time video surveillance workloads
Integrated automated tests into CI/CD pipelines reducing deployment time significantly, Achieved early-stage issue detection leading to faster bug resolution cycles, Automated regression suite execution on every code commit for immediate feedback, Continuous monitoring and quality gates preventing defects from reaching production
5
Key Improvement Areas
80%
Automation Coverage
40%
Faster Regression Testing
Measurable improvements across quality, efficiency, and delivery speed
Implemented with defined milestones for continuous test automation improvement
Real-time monitoring via Grafana improving system scalability and reliability
Improved test management and traceability using QMetry platform
Improved visibility and transparency with comprehensive QA metrics reporting
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