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The self-improving factory powered by AI, Maneva's Video-to-Action AI for manufacturing
The Self-Improving Factory Starts With Maneva
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VIDEO-TO-ACTION AI

What Is Video-to-Action AI?

HOW IT WORKS

How does Video-to-Action AI work?

Chocolate bar production line with rows of bars moving along conveyors
1. See
Cameras on the line watch every unit, task and machine, frame by frame.
Camera above a chocolate line with one bar outlined in yellow and labeled Scratch Detected
2. Understand
The agent judges what it sees against what normal looks like on your floor, up to 30 times per second.
Reject mechanism removing a defective chocolate bar from the line, with a defect counter showing 12
3. Act
It accepts, rejects or reroutes product, alerts the right person, or stops a line before an injury happens.
HOW IT'S DIFFERENT

How is Video-to-Action AI different from machine vision and video analytics?

Machine vision checks a part against a fixed rule. Video analytics records and reports. Video-to-Action AI decides and acts on the line while the shift is running, and gets sharper with every shift.
Video-to-Action AI compared with rules-based machine vision and video analytics
Machine visionVideo analyticsVideo-to-Action AI
What it does Checks one spec Records and reports Decides and acts
Who acts A gate or a person A person, later The agent, instantly
Cameras Dedicated hardware Security cameras Existing or off-the-shelf
Over time Retuned by hand Stays the same Learns every shift
Scope One inspection point Monitoring Quality, downtime, productivity and safety
ON THE FLOOR

What can Video-to-Action AI do on a factory floor?

Quality Assurance

Catch defects, mislabels and foreign objects at line speed, and reject or reroute the unit before it ships.

Quality assurance
Close-up of a yellow, irregular-shaped object on a purple surface, outlined with an orange line, with a label stating 'Quality: Defected'.

Downtime Reduction

Spot jams, blockages and machine wear before they stop the line.

Downtime reduction
Rendered image of a machine with two cubes under inspection, one yellow labeled 'Cube: Error' on a raised platform and one purple labeled 'Cube: Good' on a conveyor belt.

Productivity Efficiency

Find bottlenecks, microstops and cycle-time losses while the shift is running.

Productivity efficiency
Top-down digital illustration of two workers wearing yellow shirts and helmets seated side-by-side at a purple table with laptop-like devices; an overlay highlights their efficiency with one marked 96% efficient in purple and the other 43% efficient in orange.

Health & Safety

Flag PPE gaps, restricted-zone entries and unsafe behavior in real time, with a record of every check.

Health & safety
Yellow forklift carrying orange boxes in a warehouse with a highlighted warning area labeled 'Danger Zone: Inside'.
The agent layer

Powered by the agents on your floor

VITA and ALIS act on the floor. The Orchestration Platform connects them into one real-time system.
Close-up of a metal automotive part with a clearly visible weld seam labeled 'Weld Seam Verified' in a factory setting.
VITA
Your quality and downtime agent. Acts on the product. Detects defects, mislabels and machine issues, and accepts, rejects or reroutes each unit.
Explore VITA →
Factory worker wearing a yellow safety vest, hard hat, safety glasses, and gloves inspecting a silver car body on an automotive assembly line in a brightly lit factory.
ALIS
Your AI Line Supervisor. Supervises people and process. Flags PPE gaps, restricted-zone entries and unsafe pacing, and tracks productivity across the floor.
Explore ALIS →
Maneva Orchestration Platform facility map showing agents connected along two production lines on a 3D factory floor plan
Orchestration Platform
Connects every agent, line and facility into one real-time system: see what is happening, understand why, and act.
Explore Orchestration →
BUILT INTO EVERY AGENT

What every agent brings to the floor

VITA and ALIS share the same foundation, whatever line they run on.
Lightning bolt icon
Real-time
Decisions happen the moment the camera sees them, not after a report.
Processor chip icon
On-device
Runs on your line, on hardware you already have, with nothing sent off-site to process.
Brain icon
Self-learning
Gets sharper every shift, building a memory of your floor instead of starting from zero.
Eye icon
Always on
Watches every unit, every shift, without fatigue or blind spots.
Adjustment sliders icon
Tuned to you
Trained specifically for your lines, and flags what matters on your floor.
WHERE IT FITS

Where does Video-to-Action AI work best?

On lines where a camera can see what matters. A good fit checks all four boxes. On food lines, packaging, filling and inspection fit well; mixing and tank stages generally do not.
Four criteria for a good fit for Video-to-Action AI
Criterion A good fit Not a fit
A repeating line A physical product made on a repeating line. One-off or bespoke builds
A visible unit The unit or task is in view of a camera. Product sealed inside tubes, tanks or machines
A consistent scene The scene looks the same from shift to shift. A constantly changing mix
A practical camera view The unit fits within a camera's view. Oversized parts, such as turbine blades
GETTING STARTED

How do you get started with Video-to-Action AI?

Start with one agent, get the result you need, then expand at your own pace.
Factory floor plan with one Quality AI application flagging a cracked glass panel on a single line
1. Start with one agent
Pick one problem on one line. We agree on the result to move before anything is installed, then deploy one agent on your existing cameras, or on one we help you choose for the task.
Factory floor plan with Quality, Downtime and Efficiency AI applications linked along one production line
2. Then the whole line
Once the result is proven, add agents for downtime, efficiency or safety on the same line, and replicate what worked.
Factory floor plan with Quality, Downtime, Efficiency and Safety AI applications linked across every area of the plant
3. Expansion is in your control
Add agents, lines and buildings at your own pace. The Orchestration Platform connects them, so your operation becomes one system.
Map of North America linking facilities in Oregon, Arizona, Missouri, Florida and Quebec into one network
4. Every facility, one memory
Roll out across plants. Each factory builds its own memory, and what one learns compounds to improve every facility.
up to
10%
Increase in total output
up to
16x
Increase on MTBF
up to
~50%
Increase in health and safety compliance
AI model accuracy
99.9%
Defect detection and removal in real time
RESULTS

Proven results you can measure

We collaborate with leading manufacturers to automate and enhance their workforce capabilities using advanced AI

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Frequently Asked Questions

Frequently Asked Questions

Didn't find what you need? Our team will walk you through Video-to-Action AI and show how it fits your production environment.

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No. Computer vision is how a system understands an image. Video-to-Action AI uses it as the first step, then decides and acts on the line in real time, instead of producing a report for someone to review later.

It depends on your site and the problem you want to solve. Some customers can start with the cameras they already have. Many need at least one new off-the-shelf camera placed and set up for the task, so the AI sees exactly what it needs to see.

Maneva helps you scope this from the start. We look at your line, the result you want, and what the camera needs to capture, then recommend the right camera and where to put it.

Maneva is hardware agnostic and connects to a wide range of camera types, including:

  • Standard RGB and security cameras for many quality, downtime, safety and efficiency use cases
  • 3D and depth cameras for measuring volume, position and dimensions
  • Thermal and infrared cameras for heat signatures and low-light areas
  • Short-wavelength infrared (SWIR) cameras, which see through plastic to check seal integrity
  • High-resolution precision cameras for defects under a millimeter across large surfaces

If you can see it in the video, our AI can understand it and act on it. Start with one line, and we'll help you choose the setup that gets you there.

Data is stored under Maneva’s governance on secure cloud infrastructure (AWS S3 and RDS by default), using encrypted storage and transmission protocols. We offer customizable support for data residency, export controls, and privacy compliance based on your organization’s requirements. Please contact your Maneva representative to discuss specific needs.

Data is stored under Maneva’s governance on secure cloud infrastructure (AWS S3 and RDS by default), using encrypted storage and transmission protocols. We offer customizable support for data residency, export controls, and privacy compliance based on your organization’s requirements. Please contact your Maneva representative to discuss specific needs.

For security and compliance documentation, request access through our Trust Center.

Video-to-Action AI is the approach. VITA is Maneva's agent that applies it to the product, accepting, rejecting or rerouting each unit. ALIS applies it to people and process.
If you use X-ray, infrared, or thermal imaging cameras, we can absolutely teach the AI to detect what those cameras reveal. If a human can see it in the image, the AI can likely learn it too. At the end of the day, it all comes down to what the camera sees — our AI can analyze and act on whatever that is.
The first model can be ready in as little as a few weeks from the first images being captured.
Resources

Learn more about Video-to-Action AI

Blog
Maneva VITA flagging bags of gummy candy jammed in the rollers at a packaging line infeed, labeled Line Stopped: Bag Jam at Infeed
What Causes Unplanned Downtime on Packaging Lines
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Blog
Maneva VITA flagging a blue plastic fragment on a breaded chicken tender, labeled Foreign object detected, before packing
How Do Meat Plants Catch Foreign Objects Before Packing?
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Press
Design World and Maneva logos on a purple gradient above the question “Where should a manufacturer start with AI?”
Design World: 5 Candid Conversation Topics from Pack Expo 2026
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Blog
Maneva VITA tracking car bodies on an automotive assembly line, with flow status nominal
Where Does Computer Vision Pay Off First in Automotive Parts Manufacturing?
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Press
IMTS and Maneva logos side by side
IMTS: Maneva Raises $27M to Tackle Inefficiencies Across the $46T Manufacturing Industry
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