Counts on your existing cameras
Runs on CCTV or IP cameras already installed on your line. No proprietary camera hardware, no re-cabling, and no new capex on the camera side.
Process & Video Analytics
Turn the cameras you already have into a count you can trust
EagleEye turns your existing CCTV or IP cameras into an automatic, continuous record of what your line produced and what left the gate — counted, timestamped, and reconciled against your own numbers, without adding a camera to the floor.
Or send us 30 minutes of your footage. No site visit — a findings report comes back in 3 working days.
Production counting, made auditable
Know what left your line. Prove what left the gate.
Counting and dispatch errors show up as customer disputes, reconciliation gaps, and manual tally sheets nobody fully trusts. EagleEye watches the pack line or loading bay and counts every unit, bag, or carton as it passes — continuously, at line speed, with a timestamped record tied to every run.
It runs on an edge appliance inside your plant. Footage stays on site, and PPE, worker behaviour, and safety monitoring are deliberately out of scope. This is a production and dispatch tool for plant and operations teams — not a workplace surveillance platform.
Sample reconciliation
Today's dispatch run
Packing line
12,480
units counted
Dispatch gate
12,476
units verified
Reconciliation variance4 units
Illustrative interface — every count is linked to its camera and timestamp.
How it works
Prove it on your footage before you commit
01
Send 30 minutes of your footage
No site visit and no commitment. Use a camera you already have pointed at the line or dispatch bay — that is enough for a real answer.
02
Get a report in 3 working days
See what EagleEye can count, the accuracy observed, and what a live deployment would involve — including an indicative Intel edge configuration.
03
Pilot one line, then scale
A fixed-price, 6-week pilot installs one EagleEye Edge Box on one line. Once proven, further lines and sites become a straightforward rollout.
Why EagleEye
Focused enough to prove. Practical enough to deploy.
EagleEye is not a general-purpose video analytics platform. It is scoped to production and dispatch counting, which keeps the business case with the team that owns throughput, reconciliation, and customer fulfilment.
Your footage
3-day findings report
On-site edge processing
Capabilities
What this solution delivers
Reconciles production and dispatch
Counts units, bags, or cartons at packing and loading, then reconciles the totals against your ERP or manual records — closing the gap between line and gate.
Runs on the edge, stays on site
Inference runs on an Intel-powered edge appliance inside your plant. Footage and analysis remain on site, without a cloud dependency or data-residency concern.
Typical applications
Where it's used
Production count & dispatch verification
Bag, carton & unit counting at packing
Line-stoppage & downtime attribution
Multi-site rollout across plants
ERP & MES reconciliation feeds
CCTV/IP integrator-led deployments
An adjacent capability
The same stream can grade material quality
Where the process calls for it, EagleEye can analyse continuously flowing material as well as count finished goods. In a rice mill, for example, it measures and classifies each grain, then produces an objective batch-level quality report.
Quality grading remains available as a tailored application. Production counting and dispatch reconciliation are the standard starting point for this solution.
Proven in production
Case studies & app notes
Case studies
FMCGCASE STUDYAI-Powered OCR for Cigarette Packet Data Extraction
May 4, 2026READ →
FMCGCASE STUDYAI-Powered Grain Analyzer for Rice Mills
May 4, 2026READ →
App notes
AUTOMOTIVEAPP NOTEPiston & Con-Rod Assembly Verification
4-camera inline assembly verification confirming circlip seating, ring presence, gudgeon pin depth, and crown orientation on every piston — within a 500ms index stop.
READ →
FMCGAPP NOTEAI-Powered Cashew Kernel Inspection & Grading
Three-station AI vision architecture covering morphometry, multi-spectrum colour grading, and deep learning classification across all 33 export grades — with per-kernel digital traceability.
READ →
AGRICULTUREAPP NOTEAI-Powered Seed Quality Inspection & Analysis
Multi-modal RGB + NIR hyperspectral + deep learning inspection for seed purity, viability, defect detection, and lot-level traceability — at up to 1,200 seeds per second.
READ →
Prove it on your footage first
Send 30 minutes from a camera already watching your line or dispatch bay. We’ll return a findings report in 3 working days — before you commit to a site visit or pilot.