Top 7 AI Video Surveillance Solutions for Manufacturing & Warehouses

Traditional CCTV systems record footage, but nobody's watching in real time, so a forklift near-miss, a breached restricted zone, or a missing shipment often goes unnoticed until it's too late. As facilities grow larger and more complex, this gap between "seeing" and "understanding" is getting too costly to ignore.

That's why manufacturers and warehouse operators are shifting to AI-powered video surveillance. Unlike passive CCTV, these systems analyze feeds in real time, flagging safety violations, unauthorized access, and operational bottlenecks instantly.

 Key drivers include workplace safety, regulatory compliance, real-time risk detection, and operational visibility.

Choosing the right platform can be overwhelming, so before choosing an AI video surveillance platform. This guide covers seven leading solutions: NAVA Vision AI, Intenseye, Protex AI, viAct, Visionify, Awiros, and Vaidio to help you find the best fit.

7 AI Video Surveillance Solutions 

1. NAVA Vision AI

Overview

NAVA Vision AI is an industrial operational intelligence platform that turns a facility's existing AI-powered video analytics camera infrastructure into real-time visibility. It covers safety, compliance, dock operations, yard management, inventory, and damage detection.

Most facilities already have cameras. The problem is that the footage usually becomes useful only after something has gone wrong.

NAVA Vision AI treats cameras as an always-on operational data source rather than a security feed waiting to be reviewed. 

Its five-level Operational Intelligence Maturity Model reflects that progression: from passive video recording to real-time event detection, measurable operational KPIs, workflow optimization, and eventually standardized intelligence across an entire facility network.

The goal is not to add more video. It is to get more operational value from the video infrastructure already in place.

Key capabilities

• NAVA works with existing IP, fixed, and PTZ cameras, along with RTSP streams, ONVIF-compatible devices, and current VMS platforms. Cloud, edge, and hybrid deployment options give enterprises flexibility around latency, data residency, and multi-site visibility.
• Integrations span ERP, WMS, TMS, YMS, MES, EHS, access-control, and BI systems. That matters because a detection trapped inside another dashboard has limited operational value. NAVA is designed to push those signals into the systems operations and safety teams already work in.
• Deployment follows a staged model: Discovery Workshop, Operational Intelligence Assessment, a pilot with agreed success criteria, and then enterprise expansion. Proving one workflow first is a far more practical path than rolling out seven modules across multiple facilities and hoping the ROI appears later.
• NAVA publishes outcome ranges from live deployments, including lower truck turnaround and trailer search times, improved inventory accuracy, and fewer recordable safety incidents. These figures are presented as illustrative benchmarks, with customer-validated results available on request.

Manufacturing and warehouse use cases

• SafetyVision AI:  detects PPE non-compliance, restricted-area access, forklift-pedestrian interactions, and near misses in real time across shifts.
• ComplianceVision AI:  continuously monitors SOP and contractor compliance instead of relying only on point-in-time audits, while maintaining an evidence trail for regulators and insurers.
• DockVision AI:  tracks truck arrivals, loading activity, and dwell time so teams can see exactly where dock turnaround starts to break down.
• YardVision AI provides live trailer location and yard congestion visibility, reducing the time employees spend physically searching for assets.
• InventoryVision AI uses camera footage for cycle counting and location validation without requiring teams to stop operations for manual recounts.
• DamageVision AI:  detects and visually documents damage to products, pallets, and trailers, giving teams clearer evidence for claims and investigations.
• SiteAccess AI:  automates truck and visitor authorization at facility gates using camera-based verification instead of relying entirely on manual check-in.

Best for

NAVA Vision AI is best suited to manufacturing and warehouse operators. They want safety and compliance monitoring alongside dock, yard, inventory, and damage visibility. All within the same operational intelligence platform.

It's particularly relevant for teams that have outgrown single-purpose PPE detection tools. These teams want to prove value through a focused pilot. Then expand across an enterprise network.

Why NAVA Vision AI stands out

Many vendors in this category stay in one lane. They either focus heavily on EHS and safety detection or provide broad security analytics with limited connection to day-to-day operations.

NAVA is built differently.

A facility can start with the problem costing it the most, whether that is a high recordable-incident rate, long dock dwell times, inventory shrinkage, trailer searches, or recurring damage disputes. Once that use case proves its value, the same camera and VMS infrastructure can support the other modules.

That modular approach is more practical than forcing every facility into the same deployment from day one.

NAVA Vision AI  is designed to turn what the camera sees into measurable KPIs and operational action. An alert by itself is not operational intelligence. What teams can measure, investigate, and change because of that alert is what actually matters.

2. Intenseye

Overview

Intenseye is an AI-powered workplace safety platform built for enterprise EHS teams, using computer vision on existing cameras to surface hazards manual inspections miss.

Key capabilities

• Core AI and Ergo AI models detect 50+ unsafe acts and conditions, plus ergonomic risk (RULA/REBA)
• Leading Indicators module rolls up safety scores across sites
• Cloud support for 200+ camera models
• Mobile app and Slack/Teams/BI integrations
• Privacy-focused, with facial blurring, SOC 2, and GDPR compliance

Manufacturing and warehouse use cases

PPE compliance monitoring on production lines and warehouse floors, ergonomic risk detection for lifting and repetitive tasks, slip/trip/fall hazard identification, and multi-site safety benchmarking for large manufacturers.

Best for

Large, multi-site enterprises focused primarily on EHS transformation and reducing recordable injuries, rather than broader dock, yard, or inventory visibility.

3. Protex AI

Overview 

Protex AI is a computer vision safety platform for enterprise logistics, manufacturing, and warehousing, built around edge processing and privacy-preserving deployment.

Key capabilities 

• Detects PPE non-compliance, forklift-pedestrian conflicts, restricted-area breaches, poor ergonomics, and housekeeping hazards, with video processed on-edge so footage stays on-site
• Drag-and-drop rule builder for custom detections
• Protex Intelligence, a generative AI layer for natural-language safety querying
• Heatmaps and trend analytics, with integrations into Alcumus, EcoOnline, SafetyCulture, WMS, MES, and BI tools
• Positive-behavior recognition feature that highlights safe practices, not just violations

Manufacturing and warehouse use cases 

Continuous PPE and safety-behavior monitoring across warehouse and plant floors, vehicle-pedestrian conflict detection in loading and staging areas, automated audit-ready video evidence, and cross-site safety benchmarking.

Best for 

Logistics and manufacturing enterprises prioritizing on-edge data privacy and deep EHS system integrations.

4. viAct

Overview 

viAct is a scenario-based computer vision platform, originally built for construction safety, now spanning manufacturing, oil and gas, and mining. Logistics environments across Asia and the Middle East.

Key capabilities

• Library of 200+ proprietary AI modules for safety, productivity, and environmental monitoring, unified in a single viHUB dashboard
• Work-at-height, forklift collision, restricted-zone, and housekeeping hazard detection
• IoT integration with smart helmets, worker tags, and environmental sensors
• viBOT, an autonomous inspection robot, and viAER, drone-based aerial monitoring
• Worker productivity tracking, including idle-time monitoring across warehouse operations

Manufacturing and warehouse use cases

PPE and hygiene compliance on production lines (including food and dairy processing), forklift safety and unauthorized machine-area access detection, multi-site safety scoring for concurrent construction and production operations, and workforce heatmaps highlighting efficiency losses.

Best for 

Multi-site manufacturers across Asia-Pacific and the Middle East wanting an extensive module library plus IoT and robotic monitoring options.

5. Visionify

Overview

Visionify is a Denver-based computer vision company offering an enterprise safety AI platform with a large library of pre-built detection models designed for fast deployment without custom model training.

Key capabilities 

• Over 60 specialized safety applications, including PPE compliance, restricted-zone monitoring, forklift safety, and fire/smoke detection
• No custom model training required, with go-live typically in two to three weeks
• Compatibility with existing IP cameras, VMS, and NVR setups
• On-premises data residency, with video used only to train the client's own models
• Dashboard with real-time insights, AI-driven analytics, and customizable compliance reports

Manufacturing and warehouse use cases

Early fire, smoke, and electrical hazard detection on the plant floor; PPE compliance across designated zones; blocked-exit and spill detection in warehouse aisles; and fast-turnaround deployments without long implementation cycles.

Best for

Mid-market manufacturers and warehouse operators wanting fast, low-customization deployment and strict on-premises data control.

6. Awiros

Overview: Awiros is a video AI platform founded in India that takes an "operating system" approach to computer vision providing infrastructure for deploying many different AI applications, from safety and quality to security and traffic management, across a single camera network.

Key capabilities 

• AppStack marketplace of 100+ ready-to-use video AI applications spanning safety, security, SOP monitoring, and quality inspection
• Flexible deployment models, including on-premises appliances, edge-plus-cloud, and full cloud, built for facilities with strict data-control requirements
• Support for large-scale camera networks across thousands of feeds
• Open developer ecosystem (ATOM) that lets teams build and train bespoke computer vision applications for facility-specific needs

Manufacturing and warehouse use cases

In-plant traffic management for forklifts, vehicles, and pedestrians; quality and safety inspection modules tailored to specific production-line requirements; large camera-network deployments across multi-facility manufacturing operations; and custom AI application development for niche detection needs.

Best for Large enterprises, particularly those with complex or high-camera-count environments, wanting a flexible platform to build or customize multiple video AI applications rather than a single fixed product.

7. Vaidio

Overview 

Vaidio is an open AI vision platform focused on breadth of analytics  offering dozens of video AI functions on a single system that integrates with a wide range of cameras and video management systems.

Key capabilities 

• 30+ AI video analytics functions, including intrusion detection, object and behavior detection, license plate recognition, vehicle make/model identification, and PPE, smoke, fire, and weapon detection
• Open architecture that works with most IP cameras and integrates with dozens of VMS platforms, rather than requiring a proprietary camera ecosystem
• Vaidio Command Center, a federation engine for large, multi-site deployments, and Vaidio Data, a reporting and business-intelligence layer
• Autoconfiguration agent that analyzes camera scenes and recommends analytics and regions of interest
• Custom analytics training, alongside natural-language semantic search across video

Manufacturing and warehouse use cases 

PPE and safety-behavior detection across production and warehouse environments; perimeter and restricted-area intrusion detection for plants and distribution centers; vehicle and license-plate recognition for yard and gate management; and custom-trained detections for facility-specific risks or quality issues.

Best for 

Organizations wanting the broadest single-platform library of analytics functions and flexibility across a wide mix of existing cameras and video management systems, particularly those with government, transit, or multi-industry camera estates.

Conclusion

AI video surveillance turns existing cameras into real-time safety, compliance, and operational intelligence, catching PPE gaps and near-misses as they happen, generating audit-ready evidence automatically, and surfacing dock, yard, and inventory data that used to sit unused in footage. 

Of the seven platforms compared, NAVA Vision AI is the best overall choice for manufacturing and warehouse teams. It pairs safety and compliance monitoring with dock, yard, inventory, and damage intelligence in one modular platform built entirely on the cameras you already have.

Ready to see what your existing cameras can tell you? Book a demo to identify your highest-value Vision AI use case.