EMB Global
Vision AI Solutions

See more. Catch more.
Decide faster.

Computer vision systems that monitor production lines, count inventory, detect defects, and read documents, running on edge or cloud and integrated with your operations stack.

Deployed across 500+ camerasEdge + cloudISO 27001
Vision AI detection scene
Trusted across
ManufacturingRetailHealthcareConstructionLogisticsAgricultureBFSIPharmaTelecomGovernmentManufacturingRetailHealthcareConstructionLogisticsAgricultureBFSIPharmaTelecomGovernment
The Problem

Most of what happens in your
business is never seen.

Cameras are everywhere, and most footage is wasted. Defects slip past inspectors. Inventory miscounts cost millions. Safety violations only surface after incidents. Documents pile up in scanning queues. The physical world is data, but you're not using it.

01
Manual inspection misses 15–30% of defects
Fatigue compounds at speed, and inconsistency across shifts lets bad product slip through undetected.
02
Stockouts go undetected for hours
By the time anyone notices, you've lost the sale. Vision AI flags empty shelves the moment they happen.
03
Safety incidents only get attention after they happen
Not before, when prevention is possible. Real-time monitoring closes the gap between hazard and response.
04
Documents pile up in scanning queues
Invoices, KYC, claims: manual data entry is slow and error-prone. Vision AI extracts and routes automatically.
Vision AI iris detection
What We Build

Five vision systems, all production-grade.

With edge deployment options for low-latency or privacy-sensitive environments.

01

Quality Inspection AI

Detect defects in manufacturing, packaging, agriculture, mining, at production speed. Models trained on your defect classes, retrained as new ones emerge.

02

Retail Vision Intelligence

Shelf monitoring, planogram compliance, footfall analytics, queue management, loss prevention, all from existing CCTV.

03

Safety & Compliance Monitoring

PPE detection, restricted-zone alerts, hygiene compliance, fall detection. Real-time alerts to ops; weekly compliance reports for audits.

04

Document Intelligence (IDP)

Read, classify, and extract from invoices, KYC docs, claims, contracts, prescriptions. Handwriting and multi-language support.

05

Energy & Infrastructure Vision

Substation thermal anomaly detection, transmission-line inspection, solar-panel defect spotting, vegetation encroachment alerts. Edge-deployable to remote sites with low bandwidth.

How We Deliver

From camera to
production in 60 days.

Vision projects fail when teams chase accuracy in a lab and forget about deployment. We start from your camera and end on your floor.

01
1 week

Site Audit

We walk your floor, audit camera placement and lighting, define KPIs that matter (defect rate, downtime, throughput).

02
3 weeks

Data & Model Build

We capture and label data, train domain-specific models, and validate on your worst-case examples.

03
2-3 weeks

Pilot Deployment

2-3 weeks. Run alongside humans for accuracy comparison; refine until model exceeds human baseline.

04
Ongoing

Scale & Sustain

Edge or cloud deployment, drift monitoring, retraining cycles, alerts piped to your existing ops tools.

Industries & Use Cases

Built for your industry.

Every sector has different lighting, throughput, compliance rules, and camera setups. Our vision systems are engineered to match.

IndustryUse CasesOutcome
ManufacturingDefect detection, surface inspection, assembly verification, packaging QA25% defect reduction
Logistics & WarehousingDamage detection, bin counts, loading-bay management, parcel routing40% throughput gain
RetailShelf compliance, footfall, queue management, loss prevention8-12% revenue lift
Energy & UtilitiesSubstation thermal anomalies, transmission-line inspection, drone-based asset audits, solar-panel defect detection40% inspection cost reduction
BFSIKYC document extraction, fraud signature detection, branch security80% IDP automation
Construction & EHSPPE compliance, restricted-zone breach, fatigue monitoring60% safety-incident reduction
Talk to a solutions architect
Impact & Outcomes

Vision that pays for itself.

Vision is one of the few AI categories with a hard, measurable ROI baseline: defects caught, items counted, incidents prevented.

0.0%
Model accuracy on production lines
0%
Reduction in QA defects shipped
0%
Fewer safety incidents post-deployment
8-0%
Revenue uplift in retail use cases
0%
Of documents processed without human touch
<0ms
Edge inference latency
Tech Stack & Trust

Open architecture.
No lock-in.

We deploy on edge devices, your cloud, or hybrid, depending on latency, bandwidth, and privacy needs.

SOC 2 Type IIISO 27001EU AI Act–readyGDPR compliant
ModelsYOLO, SAM, CLIP, fine-tuned vision transformers, custom CNNs
MultimodalGPT-4o vision, Claude vision, Gemini multimodal
IDPAWS Textract, Azure Document Intelligence, custom LayoutLM-based extractors
EdgeNVIDIA Jetson, Intel OpenVINO, Google Coral, Hailo accelerators
CloudAWS, Azure, GCP: your tenant, your data
PrivacyOn-device inference, face/PII blurring, GDPR/DPDP-compliant pipelines
Case Study
CASE
Spotlight: F&B Manufacturer

How a large F&B manufacturer cut defect rates 22% and recovered $1.2M annually.

We replaced manual visual inspection with a vision system on 6 production lines. The system catches micro-defects (cap tilt, fill level, label alignment) that inspectors missed at line speed, and feeds upstream so the line auto-stops before bad SKUs are crated.

99.6% accuracy22% defect reduction$1.2M/year saved100ms inference

Common questions.

Usually not. Most industrial and CCTV cameras work fine. We audit your existing setup first; we'll only recommend hardware changes when they materially impact accuracy.

Modern models handle wide lighting variation, but extreme conditions need either lighting fixes or specialized models. We benchmark on your worst lighting before committing.

On-device inference where possible, face/PII blurring at capture, and full GDPR/DPDP compliance. We don't store raw footage unless you require it.

We monitor accuracy continuously, alert on drift, and retrain on new examples. Most of our deployments include a managed-service tier for this.

Your cameras are already
running. Let them earn their keep.

Send us a sample feed or a few images. We'll show you what a vision model would catch, within 5 working days.