Artificial Intelligence. Real-World Impact.
Deploy cutting-edge computer vision and machine learning models to analyze physical environments, optimize operations, and predict threats.
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ZEI deploys physical AI — computer vision, behavioral analytics, and machine learning — that turns existing camera infrastructure into intelligent sensors. Edge or cloud-based analytics detect objects, classify behavior, and surface anomalies in real time, with privacy-aware design and human-in-the-loop verification.
Technology Partners
A representative environment where ZEI engineers, deploys, and supports physical ai.
Where current systems fall short.
- Cameras producing footage no one watches until something goes wrong
- Operators overwhelmed by motion alerts that are mostly weather, animals, and shadows
- Slow forensic searches through hours of timeline to find a specific person or vehicle
- Loss prevention, PPE compliance, and queue analytics handled manually
- No early warning for slips, falls, loitering, or aggression
Beyond Basic Security
Turn your existing camera infrastructure into a network of intelligent sensors.
Behavior Analysis
Detect loitering, aggressive behavior, or slip-and-fall incidents before they are reported.
Object Detection
Identify specific vehicles, PPE compliance (hard hats/vests), or unattended baggage in crowded spaces.
Heatmapping & Flow
Analyze foot traffic patterns, dwell times, and queue lengths to optimize retail layouts or staffing.
Anomaly Detection
AI models learn the normal patterns of your facility and alert you only when something truly unusual occurs.
What gets installed.
A real deployment is more than the headline product. These are the components we typically specify and integrate.
AI-capable cameras
Cameras with onboard NPUs (Axis, Avigilon, Hanwha, Verkada, Bosch) that classify objects in real-time at the edge.
Edge analytics appliances
Local GPU appliances (NVIDIA-based) that run analytics on existing camera streams without replacing cameras.
Cloud analytics platform
Cloud platforms (Verkada, Genetec ClearID, BriefCam) for cross-site search, summarization, and forensic review.
Custom models
Bespoke models for niche use cases — specific object detection, custom behavior, regulated PPE — when off-the-shelf isn't enough.
Operator console
Workflows that surface verified events to operators with one-click case creation and clip export.
Data pipeline
Event metadata flowing into BI tools, ITSM, or custom dashboards for operations and loss-prevention teams.
Connects to what you already run.
Our physical ai integrate with your existing identity, communication, and security systems for unified operations.
How it gets built.
Every project follows the same engineering-led sequence — designed, documented, and delivered with no surprises.
- 01
Use-case definition
Pick 1–3 high-value use cases (loitering after hours, PPE compliance, queue length) before choosing models. Vague goals produce vague systems.
- 02
Camera readiness audit
Audit existing cameras for resolution, lens, frame rate, and lighting; identify which can run analytics and which need replacement.
- 03
Architecture design
Edge vs cloud decision, network capacity check, storage and retention design, and operator workflow.
- 04
Pilot
4–8 cameras running analytics in a real environment, measured against ground truth, tuned for false-positive rate.
- 05
Rollout
Phased rollout across the rest of the fleet with consistent calibration and operator training at each phase.
- 06
Continuous tuning
Monthly review of detection accuracy, false positives, and operator feedback; tuning per scene as conditions change.
What our engineers look for.
- Privacy is designed in: face blurring, role-based access to identifiable footage, clear retention policy, and signage where required by law.
- Edge-first architecture keeps personally identifiable data local; only metadata leaves the building unless investigation requires the clip.
- Models are evaluated on your scenes, not vendor demo reels — false positive rate is the metric that matters operationally.
- Human-in-the-loop verification is the default for high-consequence alerts (police dispatch, emergency response).
- Drift is monitored: model performance is measured monthly against ground-truth labeled events.
After the install.
Service tiers built around what your facility actually needs — not a one-size-fits-all SLA.
Annual model review, firmware updates, and tuning during business hours.
Quarterly model performance review, false-positive tuning, and 24/7 incident response.
Fully managed analytics operations: weekly review, custom model maintenance, and operator workflow optimization.
How the system fits together.
AI Processing
Where the intelligence lives.
Edge Processing
AI models run directly on the camera or local appliance.
- Ultra-low latency
- Minimal bandwidth required
- Privacy-first architecture
- Works offline
Cloud Processing
AI models run in the cloud on aggregated video streams.
- Access to massive compute power
- Continuous model improvements
- Infinite scalability
- Cross-site analytics
Where this system fits.
Retail
Integrated loss prevention and retail analytics to protect your bottom line while gathering actionable intelligence on customer behavior
Logistics
Securing massive distribution centers and tracking fleet movement with long-range surveillance, yard management, and access control
Manufacturing
Industrial-grade security and process monitoring to protect intellectual property, ensure OSHA compliance, and minimize downtime
Banking
Protecting financial assets, sensitive data, and personnel with integrated security systems that meet strict regulatory requirements
Healthcare
Securing hospitals, clinics, and pharmacies while maintaining strict HIPAA compliance and ensuring a safe environment for patient care
Cannabis
Navigating complex state regulations with robust, compliant security infrastructure for cultivation, manufacturing, and retail dispensaries
Utilities
NERC CIP compliant security solutions for power plants, substations, water treatment facilities, and critical energy infrastructure
Airports
Comprehensive security and networking solutions designed to meet the rigorous compliance and operational demands of modern transportation hubs
Education
Creating safe learning environments with integrated lockdown systems, vape detection, and campus-wide mass notification
Often deployed together.
Video Surveillance
ZEI engineers commercial video surveillance systems built around modern IP cameras, edge AI analytics, and cloud or on-premise video management
Software Engineering
Our in-house engineering team builds custom middleware, dashboards, and integrations that connect physical security and building systems to the rest of your business
Cloud Infrastructure
ZEI hosts and manages cloud infrastructure for physical security, video, and building systems on AWS, GCP, and Azure
Access Control
ZEI deploys cloud-managed and enterprise access control across single-door deployments and multi-site campuses
From the engineering blog.
Background reading our team uses when designing physical ai systems.
Edge AI Analytics: Moving Intelligence from the Server to the Camera
Edge AI moves video analytics from the data center to the camera itself, cutting bandwidth and latency. Here is when edge wins and when cloud still does.
Why Megapixels Lie: The Truth About Camera Resolution and Forensic Value
Megapixel marketing has run away from the physics that matters. Pixel-on-target, sensor size, and lens quality decide whether footage is actually useful.
Hybrid Cloud Video Storage: Balancing Retention, Bandwidth, and Cost
The debate over where to store surveillance video has evolved beyond the binary choice of on-premises NVR versus cloud.
Frequently asked.
Does AI surveillance create privacy risk?
Edge or cloud analytics — which is better?
Can existing cameras run analytics?
How do you avoid false positives?
What about ALPR (license plate) and facial recognition specifically?
Let's build your system.
Tell us about your facility. Our engineering team will design a system tailored to your security, connectivity, and automation requirements.
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