4 Security Company Case Study Examples | PrometAI Blog

Case 1

Case Study 1: Avigilon – AI Video Surveillance & Security Automation Transformation

Company Overview

In the evolving landscape of physical security, Avigilon has emerged as a pioneer in redefining how technology safeguards people and property. Originating in Canada and now part of Motorola Solutions, the company blends AI video surveillance, intelligent analytics, and cloud-based control to deliver smarter protection across industries. Its platforms, including the Avigilon Control Center and Avigilon Unity, integrate AI video analytics and edge AI security to help corps strengthen oversight, streamline operations, and make data-driven decisions with confidence.

Challenge: Manual Monitoring, Limited Scalability & Fragmented Video Surveillance Systems

Security operations once relied heavily on human attention. In many enterprises, teams sat before rows of screens, scanning countless video feeds in an effort to keep facilities safe. Hours were spent watching, rewinding, and replaying footage, yet crucial incidents still went unnoticed.

The limitations of traditional surveillance became increasingly evident.

Manual video review was slow, demanding long hours to locate a single event.
Multiple unconnected systems created blind spots in surveillance coverage.
Traditional on-premises setups made it difficult to scale across various sites such as retail stores, universities, or manufacturing plants.
Investigations were both costly and time-consuming, negatively impacting productivity and response quality.

These shortcomings not only weakened security but also raised operational costs and reduced confidence in existing monitoring systems.

Solution: Avigilon Control Center & Unity Cloud for Real-Time Video Analytics

Avigilon responded to these challenges by introducing the Avigilon Control Center (ACC) and Avigilon Unity Cloud, platforms designed to turn ordinary video footage into intelligent, real-time insight. Together, they form a connected enterprise video management system that combines AI video analytics, IoT integration, and security automation to help organizations act faster and operate smarter.

Key Components

AI Video Analytics

Avigilon’s AI video analytics engine enables security teams to understand what is happening in their environment instantly.

Real-time detection, tracking, and classification of vehicles, people, and behaviors.
An advanced facial recognition system to safeguard sensitive areas and verify identities.
Intelligent motion learning that identifies normal activity patterns and detects irregularities automatically.

Avigilon Unity Cloud

The Unity Cloud platform brings centralized management to the modern enterprise.

Unified control of multiple locations through a single, cloud-based interface.
Secure integration with Microsoft Azure for analytics, storage, and connectivity.
Remote access, automated updates, and effortless scalability for expanding operations.

IoT and System Integration

Avigilon’s technology does not operate in isolation.

Integrates seamlessly with access control, fire detection, and building management systems.
Provides unified dashboards that present a complete view of every facility.

Smart Search and Evidence Management

Searching through countless hours of footage is replaced by intelligent, metadata-driven discovery.

Instant search capabilities across vast video libraries.
Filtering based on appearance, clothing color, or vehicle type to locate events in seconds.

Implementation Example

Client: A multinational logistics and warehouse operator managing over one hundred distribution centers across North America.

Objectives:

Strengthen perimeter and internal security.
Minimize theft, loss, and operational disruption.
Reduce investigation time and insurance costs.

Deployment

Over three thousand five hundred AI-enabled cameras installed.
Centralized command center built using Avigilon Unity.
Integration with GPS tracking and access control networks.
Six-month pilot phase followed by full deployment within a year.

Results: Improved Incident Response, Theft Reduction & Operational Efficiency

The transformation was both measurable and profound.

Metric	Before	After Avigilon	Impact
Incident response time	8–10 min	2–3 min	↓ 70%
Theft & damage claims	100+ per year	< 40 per year	↓ 60%
Investigation time	Hours per case	Minutes per case	↓ 90%
Staff workload	High manual review	Automated detection	↓ 50%
ROI period	–	18 months	Break-even achieved

Through the integration of AI video analytics and AI video surveillance, the company achieved faster decision-making, improved visibility, and reduced workload for staff. The transition to security automation not only protected assets but also elevated productivity, accuracy, and operational efficiency across the enterprise.

Business Value Beyond Security

Avigilon’s technology redefined the role of surveillance, proving that protection can also advance performance. By combining AI video analytics, automation, and actionable intelligence, it turned everyday monitoring into a source of strategic value.

Operational Efficiency: Video insights revealed workflow gaps and improved coordination across facilities.
Employee Safety: Automated hazard detection lowered workplace incidents and built a stronger safety culture.
Regulatory Compliance: Detailed audit trails, simplified inspections, and reporting.
Cost Savings: A stronger security framework reduced claims, losses, and insurance expenses.

The result was a transformation where protection, performance, and productivity moved forward together, powered by intelligent, connected security.

Technology Edge

Avigilon brings intelligence closer to where it matters: the edge. Each camera analyzes what it sees in real time, detecting unusual activity and responding instantly without waiting for cloud processing. This seamless blend of edge AI security and cloud coordination forms an enterprise video management system that thinks and acts as one connected network.

By turning surveillance into understanding, Avigilon transformed cameras from passive observers into active contributors. The result is a system that learns, adapts, and empowers organizations to stay one step ahead in safety and performance.

Key Takeaways: How AI Video Analytics Transforms Physical Security & Efficiency

Security becomes intelligence. Surveillance powered by AI video analytics transforms footage into real-time awareness, helping organizations predict, prevent, and respond with precision.
AI amplifies human judgment. By guiding security teams with instant insights, technology enhances intuition and enables faster, more confident action.
Cloud and Edge create reach and reliability. Together, they connect thousands of cameras within one intelligent network, ensuring consistency across every location.
Data drives transformation. Insights gathered from AI video surveillance fuel improvements in logistics, safety, and decision-making.
Humans and AI together shape the future. Collaboration between people and intelligent systems defines a new standard for security automation and operational excellence.

Lessons Learned

True transformation begins with understanding both technology and people. The success of any AI video surveillance deployment depends on how well teams adapt, learn, and trust the insights it provides.

Training builds confidence. Security teams must learn to interpret AI-driven intelligence rather than react only to alerts. Knowledge empowers better judgment.
Balance matters. Centralized management should work hand in hand with local autonomy to maintain fast, informed decision-making.
Integration multiplies impact. When surveillance connects with logistics, HR, and operational systems, the benefits extend across the entire organization.
Ethics guide trust. Responsible use of facial recognition systems and data transparency build trust and long-term credibility.

Each lesson reinforces a simple truth: intelligent security is built on collaboration between human judgment and machine insight.

Conclusion

Avigilon’s story demonstrates how intelligence can redefine security. Through AI video surveillance, security automation, and unified platforms like the Avigilon Control Center and Avigilon Unity, the company turned routine monitoring into strategic insight.

What once served to protect now also informs and improves. Avigilon’s approach proves that when technology learns to see, interpret, and respond, security becomes a pathway to operational efficiency, confidence, and smarter decision-making across the enterprise.

Case 2

Case Study 2: Verkada — Cloud Video Surveillance & SaaS Security Platform Reinvention

Company Overview

Founded in 2016 in San Mateo, California, Verkada has become a pioneer in cloud video surveillance and modern SaaS security platforms. The company unites video monitoring, access control, and environmental sensors into one web-based system that simplifies security infrastructure for schools, hospitals, and large enterprises. Through its unified platform, Verkada delivers smarter, safer, and easier cloud security management for organizations of every scale.

Challenge: Legacy DVR Systems & Manual Security Operations Across School Districts

Keeping multiple campuses secure proved difficult when technology lagged behind modern needs.

Legacy DVR and NVR setups restricted storage and required on-site supervision.
No remote access meant delayed responses to incidents.
Outdated software limited visibility and left gaps in coverage.
Manual review processes consumed valuable hours with little efficiency.

At the Fremont Unified School District, these limitations came into focus after several security incidents across more than forty campuses. The district needed a smarter and faster way to monitor and respond across its network of schools.

Results: Faster Incident Response & Maintenance Cost Reduction

The implementation brought measurable improvements across every key area of school safety and management.

Metric	Before Verkada	After Deployment	Impact
Average incident investigation	3–4 hours	5–10 minutes	↓ > 90 %
Response coordination	Manual calls	Centralized dashboard	Real-time
Camera uptime	70–80 %	99.9 %	↑ Reliability
Maintenance cost	High	Minimal	↓ ~60 %

The district reported fewer incidents of vandalism and theft, along with greater confidence from students, parents, and staff. IT and security teams also gained back valuable time once spent troubleshooting outdated hardware.

Business Value: Scalable, Cloud-First Security Infrastructure with Built-In AI

Verkada demonstrated that security can operate entirely within the cloud. Its SaaS security platform delivered simplicity, speed, and intelligence in one scalable system. The success of this model encouraged adoption in hospitals, corporate offices, and global real estate portfolios, showing how cloud video surveillance and security automation can empower organizations of every size.

Lessons Learned

The success of Verkada’s implementation showed that the best technology is the one people actually enjoy using. True progress in security comes from clarity, simplicity, and trust between users and systems.

Simplicity encourages adoption: A clear and unified cloud security management platform helps teams act quickly and confidently.
Proactive insight builds assurance: Instant alerts and clear visibility empower staff to act quickly, transforming security from a reactive process into a proactive mindset.
Ethical responsibility matters: Transparent data handling and responsible use of analytics protect both users and reputation.

Every lesson reinforced a simple idea: intelligent security works best when it feels effortless, responsible, and built around the people who use it.

Conclusion

Verkada’s story proves that modern security can be intelligent, intuitive, and accessible. Through cloud video surveillance, AI video analytics, and connected automation, the company turned protection into a simple and empowering experience.

Its approach represents a new generation of SaaS security platforms, where every decision is informed, every space is protected, and every user feels in control. Verkada continues to show that true innovation is not about doing more, but about making every action smarter, clearer, and more effective.

Case 3

Case Study 3: Genetec — Smart City Security with Unified Surveillance & Access Control

Company Overview

Based in Montréal, Genetec is known for reshaping how cities and organizations approach security. Its flagship Genetec Security Center brings together AI-powered video surveillance, access control integration, and license plate recognition (LPR) in one connected ecosystem. This integrated security platform gives teams a clear, unified view of every environment, helping them respond faster, think smarter, and build safer communities.

Challenge: Fragmented CCTV & Delayed Multi-Agency Response

Managing security across Mexico City’s vast urban landscape was difficult when every agency worked in isolation. Different departments operated their own CCTV networks, each with separate systems, storage, and procedures. Information moved slowly, and coordination often broke down when quick action was needed.

Surveillance footage was scattered across unconnected platforms.
Communication delays slowed police and emergency response times.
Outdated infrastructure limited visibility and efficiency.

City leaders realized that true safety required connecting a single network that could unite every camera, system, and response team under one unified security management framework.

Solution: City-Wide Surveillance System & Real-Time AI Video Analytics

To meet these challenges, Mexico City adopted Genetec Security Center as the foundation of its ambitious “C5” initiative, a smart city security project that reimagined public safety through technology, collaboration, and intelligence.

Implementation Highlights

Deployment of over fifty thousand cameras across streets, transit hubs, and public spaces, creating a connected city-wide surveillance system.
Integration of motion detection, facial recognition, and license plate recognition (LPR) within a unified monitoring interface.
Multi-agency coordination through centralized access control integration and secure data sharing.
Establishment of high-capacity command centers equipped with AI-assisted monitoring and incident prioritization.
Cloud scalability allowed continuous modernization and flexible system expansion.

Through this deployment, Mexico City transformed its surveillance landscape into an intelligent, responsive network where insight and action operate side by side.

Results: Crime Reduction, Faster Emergency Response & Higher Detection Accuracy

The deployment of the Genetec Security Center quickly reshaped how Mexico City managed safety and coordination. What was once a fragmented system became a connected network that saw, analyzed, and acted in real time.

Indicator	Improvement
Reported crime in monitored areas	↓ 40 %
Emergency response time	↓ ~60 %
Incident detection accuracy	↑ 35 %
Citizen confidence (public survey)	↑ 25 %

Beyond the metrics, collaboration between agencies became smoother and more effective. Data shared instantly across departments helped teams respond faster and predict incidents before they escalated. Public trust grew steadily as citizens began to see visible results from smarter, real-time security analytics.

Business & Social Value

Mexico City’s success became a global example of how technology can make cities safer and more connected. With the Genetec Security Center, agencies shared data seamlessly through one integrated security platform, improving coordination and decision-making.

Beyond stronger protection, the system brought efficiency and trust. Real-time insights helped optimize resources, lower costs, and build public confidence in how the city managed safety. Genetec’s intelligent security solutions proved that smart technology can serve both security and community progress.

Lessons Learned

The project proved that technology succeeds when it strengthens people, not just systems. Each stage of Mexico City’s transformation revealed what makes unified security management truly effective.

Centralization builds clarity when guided by strong data governance and clear accountability.
Open design encourages growth, allowing multiple vendors and tools to work together without disruption.
Human judgment remains essential. AI supports decision-making but cannot replace awareness and experience.

The experience showed that real progress in security is achieved when innovation and human understanding move forward together.

Case 4

Case Study 4: Hikvision — AI Video Analytics & Retail Loss Prevention Revolution

Company Overview

What began as expertise in video surveillance has matured into a vision for intelligent, connected security powered by AI video analytics. Its work now extends far beyond hardware, supporting retailers, logistics companies, and smart city initiatives with intelligent solutions that blend security and insight. By integrating smart surveillance cameras, retail loss prevention systems, and AI for business intelligence, Hikvision helps organizations see patterns, prevent losses, and improve operational efficiency in retail through a data-driven understanding of every environment.

Challenge: Shoplifting, Inventory Shrinkage & Manual Monitoring

For Carrefour China, managing hundreds of hypermarkets across the country, the challenge was both large and constant. Traditional surveillance systems could record what happened but offered little understanding of why it happened.

Persistent inventory shrinkage and frequent shoplifting incidents continued to impact profitability.
Limited visibility into customer movement and employee activity restricted operational insight.
Thousands of hours of manual footage review demanded time, focus, and manpower every day.

The retailer needed a solution that could combine retail loss prevention with meaningful, data-driven intelligence, a system that not only detected loss but revealed how to prevent it.

Solution: Smart Surveillance Cameras with Fraud Detection & Customer Flow Analytics

Inside Carrefour’s vast retail spaces, Hikvision introduced an intelligent network that redefined how security and operations work together. The system combined AI video analytics with smart surveillance cameras to create a connected environment where every action, interaction, and anomaly could be understood in real time.

Key Components:

Smart cameras with edge analytics that detect suspicious movement, object removal, or overcrowding in specific areas.
Central AI engine capable of identifying abnormal behavior patterns and automatically alerting staff for immediate review.
Customer behavior analytics using heatmaps and flow data to reveal how shoppers move through stores and where they spend the most time.
Integrated POS video audit that matches video footage with transaction data to uncover potential fraud or scanning errors.
Predictive maintenance tools that monitor equipment health and ensure consistent camera uptime across more than four hundred sites.

This solution transformed traditional surveillance into an intelligent system that combined prevention, insight, and efficiency across every store.

Results: Theft Reduction, Faster Investigations & Real-Time Analytics Deployment

The deployment produced measurable improvements across key operational areas. Every metric reflected how intelligent video analytics turned security from a reactive task into a proactive advantage.

Metric	Before	After Implementation	Change
Theft-related losses	100 % baseline	↓ 35 %	Improved prevention
Incident response time	15 min+	< 4 min	↓ ~75 %
Investigation time	Hours	< 10 min	↓ > 80 %
Store heatmap usage	None	Real-time analytics	New data insight

Additional outcomes:

Stronger employee accountability and a safer in-store environment.
Marketing and merchandising teams began using analytics data to optimize customer flow.
Improved insurance terms driven by verified loss reduction and risk control.

The results demonstrated how real-time insight can reshape retail operations, uniting loss prevention and performance improvement under one intelligent system.

Business Value: Using Video Analytics to Optimize Retail Performance and Security

For Carrefour, security evolved into a source of business growth. By integrating retail video analytics into daily operations, the company used insight to drive measurable performance gains.

Optimized product placement through real-time heatmaps that revealed shopper behavior.
Smarter staff allocation based on accurate footfall data and peak-hour trends.
Reduced theft-related costs while strengthening customer experience and overall profitability.

With AI for business intelligence, Carrefour transformed security data into actionable value, proving that protection and performance can grow together.

Lessons Learned

The project revealed how intelligence and innovation can extend far beyond security itself.

AI security data encourages collaboration. The insights gathered from surveillance systems can drive creativity across departments, improving marketing, operations, and customer engagement.
Edge computing supports both speed and privacy. Processing information locally reduces delays and ensures sensitive data remains protected.
Continuous learning keeps AI accurate. Regular training and updates maintain precision, eliminate bias, and help the technology adapt as retail environments evolve.

Each lesson reinforces a simple idea: intelligent technology creates the greatest value when it empowers people to make smarter, more confident decisions.