Zira is not a camera and not a model. It is the complete ecosystem for building, deploying, and operating AI vision at industrial scale: models built automatically from zero-shot to production, continuous auto-validation, annotated recordings your teams review together, edge computing on Google Pixel and Android, and machine, worker, and vision telematics flowing into one dashboard, one set of workflows, one system. Machinery manufacturers ship it inside their machines. Pallet manufacturers build on it as a competitive edge.
Most vision projects die stitching together a camera vendor, an ML consultancy, an integrator, and an IT project. Zira ships every layer as one system, engineered to work together on day one.
Traditional machine vision means a systems integrator, a lighting study, and a six-month pilot. Zira installs like an appliance, starts working with zero examples, and reaches full validated inspection without a vision engineer on site.
Cameras mount above your existing station or inside your machine envelope. Your team handles it or ours does, wiring and calibration included. Counting is live within the first hour.
Zero-shot models detect pallets, boards, people, and machinery out of the box, with no examples from your line. Auto exposure, region-of-interest, and calibration tune themselves to your lighting and layout.
Upload the spec and confirm a handful of examples. The platform assembles the dataset from your own production, annotates it with assistance, trains, and promotes the model, automatically, from zero to production-grade.
Every unit inspected, graded, recorded, and logged. Continuous auto-validation watches accuracy shift by shift, and every override feeds the next model version.
The complete lifecycle modern vision teams expect, delivered as a managed pipeline any manufacturing engineer can run. You start detecting on day one with zero examples, and the platform carries the model the rest of the way to production on its own. Your data stays yours, your defect classes stay proprietary, and your models compound into an asset your competitors do not have.
Foundation vision models recognize pallets, lumber, people, vehicles, and machine states with no labeled examples. Useful output from the first hour, and a warm start for everything that follows.
Every camera is a data pump. Production images and video stream into versioned datasets, automatically tagged by line, shift, SKU, and outcome.
Model-assisted annotation proposes labels on live recordings, humans confirm. A supervisor can stand up a new defect class in an afternoon, not a quarter.
The platform selects data, trains, evaluates against held-out production imagery, and promotes the winning model automatically. New SKU or new customer spec: upload the spec and the pipeline does the rest.
One click pushes the model to every camera and Pixel device on the line, the plant, or the fleet. Rollbacks are instant. Versions are auditable.
Misses, operator overrides, and review outcomes flow back into the dataset. The model running your line in month six is measurably better than the one from week two.
Trust in AI vision is earned per shift, not promised in a sales deck. Zira validates itself continuously against production reality and keeps the receipts: annotated recordings your quality, operations, and engineering teams review together.
Validation is not a gate the model passes once. Zira samples live production continuously, scores model output against human-confirmed ground truth, and tracks accuracy by line, shift, SKU, and defect class. Drift triggers alerts and, when you allow it, an automatic rebuild.
Every inspection is recorded with the model's annotations drawn on frame: bounding boxes, classes, confidences, and verdicts. Review queues let QC confirm or override calls, supervisors replay a shift in minutes, and engineering walks a disputed pallet frame by frame.
Zira builds on the Google ecosystem by default: Android as the edge operating system, Google Pixel devices as our standard deployment hardware alongside the purpose-built Q-7, and Google's enterprise management stack for running fleets of devices across plants. That decision gives you flagship AI silicon on every device, a mature management layer, and a development platform your engineers already know.
Google Pixel is our default edge device: flagship Google Tensor silicon, best-in-class cameras, and yearly hardware refreshes we inherit for free. Mount one over a station, hand one to an auditor, or pilot a new use case the same day it comes out of the box.
For permanent line installations, the Zira Q-7 camera pairs a Sony IMX906 sensor with Snapdragon 8 Elite compute in an industrial package: 84 degree field of view, PoE power, and a housing built for dust, vibration, and washdown-adjacent environments.
Inference runs on the device NPU, Tensor on Pixel and Snapdragon on Q-7. Verdicts land in under a second with no round trip to a rack and no GPU cluster to buy, power, or babysit.
Every Zira edge device runs Android, the most deployed and most hardened operating system on earth. Verified boot, monthly security patches, and device attestation come with the territory.
Zero-touch enrollment, managed configurations, remote lockdown, and staged OS and app rollouts through Android Enterprise. A hundred cameras across five plants manage like one device.
Standard Android development underneath means your engineers extend Zira with the largest tooling, library, and talent ecosystem in computing, Google's ML stack included, not a proprietary vision SDK.
AI vision is the sensor. Telematics is the payoff. Every camera and every verdict is logged, recorded, and analyzed in the Zira Dashboard, where machine telematics, worker telematics, workflows, and interfaces run as one continuous flow, from the lens to the decision to the action.
Cameras turn images into events: counts, defects, dimensions, states, dwell.
Every event stored with imagery, timestamps, line, shift, and SKU context.
Live and historical analytics, from a single station to every plant you run.
Rules, alerts, review queues, and escalations route the right event to the right person.
Andon lights, dry contact, mobile and station screens close the loop on the floor.
No PLC tap required: the camera watches the machine itself. Cycle times, throughput, jams, and stoppages captured visually and classified automatically by cause and duration.
Operator hours and station activity captured automatically, flowing into payroll, productivity reporting, and shift planning without clipboards or manual reconciliation.
Quality, throughput, downtime, and labor in one live view, from any device, anywhere. Compare shifts, sites, and product lines without exporting a single spreadsheet.
Detection without action is trivia. Zira routes every event through rules you define to the interface that closes the loop: a light, a relay, a review queue, a phone in a supervisor's pocket.
A verdict that stays on a dashboard is a report. A verdict that fires a light, closes a relay, or hits a webhook is a control system. Zira ships both ends.
The Zira Andon stack light brings verdicts to the station in the red, amber, green convention every operator has used their whole career. Built by us end to end, from the enclosure to the controller, and driven directly by the workflow engine.
The Zira Dry Contact Kit turns AI verdicts into clean relay closures any PLC, diverter, horn, or interlock can consume. This is what makes Zira embeddable: your machine acts on vision without a software integration project.
Per-unit records with images, measurements, and verdicts are yours through the API. Feed your ERP, build claims-defense portals, tie defect rates to lumber suppliers, or wire quality bonuses to first-pass yield by crew.
Every inspection is logged, recorded, and retrievable. When a customer questions a load, you answer in seconds with annotated imagery. Quality certs, shift reports, and defect Paretos come straight from the line.
Nailing lines, dismantlers, sorters, robotic stackers: iron alone is a price war. Zira lets you ship a machine that inspects its own output, signals its own crew, and reports its own health, without building a vision team.
Fifteen minutes with one of our engineers. We will show you the platform running on a real customer's line, then map it onto your machine or your plant.
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