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AI Vision + IoT

Achieve Zero-Defect
Manufacturing with AI.

See Every Defect. Connect Every Machine.

Eliminate manual inspection bottlenecks and costly defects. Crimson Tech's AI machine vision inspects every part in real time — tuned for zero-escape and validated on your own parts before go-live, piloted in days on any GigE camera.

See it work on your parts first — free proof of concept, no commitment.

Trusted by:
Gorkha Brewery Surya Nepal Unilever Daraz

Manual inspection is inconsistent by nature. Fatigue, shift changes and subjective judgement let defects through — not because your team isn't trying.

You can't improve what you can't see. Without live line data, downtime and bottlenecks stay invisible until it's too late.

Rule-based vision is costly and slow to deploy. Ours pilots in days, on GigE hardware you already own — no proprietary lock-in.

Trusted by manufacturers across South Asia

0+
Cameras Running Our Software
Deployed across South Asia
100%
Of Parts Inspected
Every unit checked inline — not a sample
0
Frames / Minute
High-speed inspection capability
Days
To a Working Pilot
No-code Flow Builder · your team retrains it

/ Our Technology

The AI Engine Under the Hood

Deep-learning vision, classical metrology, and edge compute — combined into one retrainable platform that runs on your floor, on your cameras.

Deep-Learning Detection & Segmentation

Finds defects by example, not rigid rules — handling variable surfaces like castings, welds and textures that break traditional vision.

Hybrid AI + Classical Vision

Rule-based metrology precision combined with AI robustness — measurement, OCR and anomaly detection in one pipeline.

Retrainable, No-Code

Add a new SKU or defect and retrain in ~1 hour with a drag-and-drop Flow Builder — no vendor call, no code.

Edge / GPU-Accelerated

Real-time inference at line speed — up to 1000 frames/min on GPU edge hardware, with inline reject control.

Runs Offline — No Cloud, No Internet

Everything runs on your own hardware. Unplug the internet and inspection keeps running. Your images and recipes never leave the shop floor, because there is nowhere else for them to go.

Any GigE Camera

Hardware-agnostic — works with industrial cameras and lighting you already own, or rigs we build and commission.

/ How It Works

Dead Simple. Three Steps.

No vendor lock-in. No 3-month deployment. Payback measured in months, not years.

01
We connect to your line
Any GigE camera or IoT sensor you already own — or we supply hardware. PLC/Modbus/OPC-UA integration included. Setup in hours.
→
02
Our AI learns your product
Upload 200–500 sample images, label once. The system trains in minutes — and your team can retrain it any time.
→
03
It inspects & reports — always on
Real-time OK/NG to PLC, plus live dashboards for defects, throughput, downtime, and safety across the floor.

/ CT Flow Builder

Build AI Inspection
Flows. No Code.

Your line engineers — not software developers — build complete multi-camera inspection pipelines with drag-and-drop blocks. Zero to live in hours.

Drag-and-drop builder
Multi-camera orchestration
PLC / Modbus output
Live dashboard included
Explore Flow Builder →

/ Why Crimson Tech

Where Deep Learning Earns Its Place

Most inspection is still done by rule-based vision or by a smart camera running a small on-board model. Both work — until the defect varies. Here's the honest comparison.

Comparison of Crimson Tech deep-learning inspection against rule-based machine vision and smart AI cameras
Criteria Crimson Tech
Trained models on an industrial PC
Rule-Based Machine Vision
Thresholds, templates, blob rules
Smart AI Camera
Small model on the camera itself
How it decides Learns from your own defect images A specialist writes rules per feature Pre-trained model, fixed at purchase
Subtle or variable defects Model sized to the problem — handles natural variation Every new variation needs another rule Limited — small quantised models suit clear, simple features
Model capacity Full-size models, GPU-backed — room to grow No model Capped by the camera's on-board chip
When the part changes Retrain in minutes — your team, no code Vendor call, re-engineering, weeks Re-flash the camera, usually vendor-assisted
Camera hardware Any GigE camera — reuse what's on the line Often proprietary Locked to that camera
Traceability Full-resolution image + verdict stored per part Varies; often pass/fail only Limited on-board storage
Improving accuracy later Better model on the same hardware Re-engineer the rules Usually means new cameras
Where it runs On your own hardware — plant PC or edge endpoint at the station. Works with no internet at all‡ On-premise On the camera, within its chip's limits
Line visibility / IoT Separate product, same team — built to plug into the same line† Separate vendor and integration Separate vendor and integration
Typical deployment Pilot in days to a week* Weeks to months Fast for simple, fixed tasks
Proof before you buy Free POC on your actual parts Rare Rare
Notes on deployment time, IoT & where we're not the right fit

* Deployment time varies. A pilot on an accessible line with workable lighting usually runs in days to a week. A full production rollout depends on your setup — fixturing, lighting, guarding, line speed, network and IT sign-off, and any mechanical changes needed to present the part consistently. We give you a realistic schedule after the site visit, not before.

† IoT is a separate product, not a bundled feature. Our line-monitoring and dashboard products (NCMS, CPAS, OEE) are sold and deployed separately from vision. The advantage is one supplier and one team who already know your line — not a single box that does everything.

‡ Runs offline, on your own hardware. Inspection runs on a plant PC or on an edge endpoint at the station — no internet connection required and no cloud account to depend on. Images, models and production data stay inside your network. We connect remotely only when you open a link for support. See Security & Data.

And where we're not the right answer: if the check is a simple, fixed, high-speed presence/absence or barcode read under controlled lighting, a smart camera or a rule-based tool is often cheaper and entirely sufficient. We'll tell you that during the assessment rather than sell you a system you don't need.

/ Partner Network

Delivered With Our Partners

We build custom vision solutions — AI-based and beyond — and deliver them on the ground with our partners across South Asia. Always looking for more; come build with us.

13+ partners · 4 countries

/ Where We Operate

Deployed Across
South Asia

A growing network of Vision & IoT deployments across South Asia — engineered, installed, and supported in-house.

INDIA
Headquarters Deployment site

/ Get Started

Not Sure If AI Vision or IoT Fits Your Line?

We'll run a free 30-minute technical assessment on your production problem — and show exactly how our systems handle it. No commitment.

Book Free Assessment → See Case Studies