Yasnivo Vision
Computer vision verifies completeness, positions and events before an error leaves the workstation.
- Inspection
- Evidence
- Human in the loop
YASNIVO · ROBOTICS
Verify every order
before it ships.
In 2–4 weeks, test one packing station, measure how many errors a camera can catch, and decide whether full deployment makes economic sense.
No robot purchase to startStandard camera · shadow mode · measurable report
- VISIONSees and
verifies - FLOWOrchestrates
tasks - EDGERuns
on site
01
02
ITEM DETECTED
MATCH 96.8%
✓
ORDER YR-1048COMPLETE
ROUTEPASS
EDGELocal analysisNo cloud dependency for PoC
HITLHuman in the loopUncertain cases never guess
ONE MISPACK BECOMES
↗ Support ticket ↗ Return shipment ↗ Repacking work Yasnivo Vision stops it at the source.FIRST PRODUCT
Start with Yasnivo Vision.
Customers buy fewer errors first. Flow and Edge enter only after Vision proves accuracy and economics on a real operation.
Yasnivo Flow
Orchestration connects WMS tasks and verified decisions to operators, AMRs, cobots and robotic cells.
- Tasks
- Exceptions
- Robot orchestration
Yasnivo Edge
A local runtime executes models, maintains an offline queue and keeps operational data on site.
- Local inference
- Offline queue
- Camera health
VISION PILOT · DELIVERY PROGRAM
Not a separate product. A four-week engagement that validates Yasnivo Vision on one operation and returns a go / no-go decision.
View the programWHERE THE MARKET ALREADY PAYS
Real workflows.
Not robot hype.
Demand is concentrated around goods movement, repeatable operations, collaborative robots and the software that connects robots to real warehouse processes.
logistics robots
Sold for transportation and logistics in 2024 — more than half of all professional service robots.
IFR World Robotics 2025 ↗logistics RaaS growth
Companies increasingly prefer pilots, rental and outcome-based scaling over heavy upfront purchases.
IFR World Robotics 2025 ↗cobot orders
Year-over-year unit growth in North America in Q1 2026. Segment revenue grew by 78.2%.
A3 Industry Statistics ↗want fewer errors
Warehouse workers expect automation to reduce order errors and manual picking.
Zebra Warehousing Vision Study ↗The Yasnivo Robotics wedge: start with Vision at one station. It creates the data and ROI for the next step — Flow, an AMR, cobot or robotic cell.
AUTOMATION PRIORITIES
What warehouses
buy today.
We rank operations by market maturity, pilot simplicity and fit with Yasnivo Robotics' software-first approach.
BEST FIRST PILOT
Packing completeness and verification
Count, correct SKU, label, insert, visible damage and evidence before the carton is closed.
- Starts without a robot
- Clear cost of error
- Data for automation
Yasnivo fit98%Open PoC →
LARGEST MARKET
AMRs and goods-to-person
Move cartons, carts and pallets between receiving, storage, picking, packing and shipping.
StageConnectWMS + fleet orchestration
STRONG ROI
Palletizing and case handling
Repeatable heavy carton work: palletize, depalletize, induction and destination sorting.
StageCobot cellvision + gripper + safety
NEXT WAVE
Robotic piece picking
High potential, but product and grasp variability make it harder than transport or verification for a first pilot.
StageScalemodel + grasping + exceptions
PRIORITY INDUSTRIESE-commerce & fulfillmentFood & consumer goodsPharma & life sciencesElectronics
INTERACTIVE PROOF OF CONCEPT
Run the inspection station.
Capture an empty workspace, arrange separate objects, and let the camera verify their count and positions.
SKU
1842
1842
SKU
0917
0917
DOC
DEMO FEED1280 × 720
ANALYSIS READY
AUDIT TRAIL
Every decision leaves evidence.
- No events yet. Start the demo to populate this timeline.
FROM WEBCAM TO MEASURABLE VALUE
A narrow workflow.
A credible proof.
The PoC deliberately solves one fixed operation. Production integrations come only after the process and economics are proven.
Observe
A fixed camera watches one packing zone with controlled light and a repeatable layout.
Detect
Background subtraction separates physical objects, counts them and records each position in the inspection zone.
Decide
Clear cases pass or reject. Borderline confidence is routed to a person instead of guessing.
Measure
Every result is logged so the pilot can prove defect capture, review load, and cycle-time impact.
ECONOMICS BEFORE HARDWARE
Price the cost
of one error.
A pilot should answer more than “does the camera work?” It should show how much value verification returns and whether the next level of automation is justified.
ESTIMATED IMPACT
Errors today / month264
Avoidable loss / month$6,468
12-month impact$77,616
Simple pilot payback0.9 mo.
This estimate is not a commercial offer. A real pilot also measures false rejects, operator review load and cycle time.
Test the workflow in Pilot Console →
A PATH WITHOUT ROBOT LOCK-IN
Observe
NOWVision and an audit trail measure the process in shadow mode.
Assist
2–4 WEEKSOperators receive OK, defect, review and an exact reason.
Connect
AFTER ROIA WMS, AMR or cobot receives a verified command.
Orchestrate
SCALEYasnivo Flow manages tasks, events, updates and exceptions.
YASNIVO VISION PILOT
One packing station.
Four weeks. A go/no-go answer.
One camera, one operation and shadow mode without automatic process stops. The final report covers accuracy, false rejects, cycle-time impact and payback.
1 camera1 operation2–4 weeksGo / no-go report
Budget is defined after a 30-minute operation review, before any hardware purchase.
Discuss a pilotBaseline
Map the process, defect taxonomy and current cost.
Shadow mode
Observe orders without changing the operation.
Assistive mode
Show pass, reject and review decisions to operators.
Decision
Report accuracy, review load, cycle time and ROI.
OPERATION REVIEW
Send the workflow. Get a pilot plan.
We need a few operational facts, not a long presentation: what is checked, daily volume and what the station looks like.
- 30-minute initial review
- No hardware commitment
- A clear fit, no-fit or data-needed answer