Computer Vision — SMHcoders
AI SERVICE // CV-05

Computer Vision

Detection, reading and inspection on live camera feeds and engineering drawings.

// Overview

Intelligent image and video analysis for real operations

Our computer vision work powers surveillance and safety systems, inspection and quality assurance, document digitalization and medical image analysis. Intelligent image and video analysis turns the cameras and drawings you already have into data sources.

Object detection, facial recognition, motion tracking and image classification — customized for manufacturing, energy, healthcare, retail and IoT, and integrated for real-time use.

>High-accuracy detection across images, video and scanned documents>Scales from a single feed to large volumes of video streams>Customizable data preparation, output formats and algorithms
INSPECTION · OFFSHORE
CAMERAS · PROCESS AREA
SITE · DOWNSTREAM
// What we offer

Inside this service

COM-01
Defect and corrosion detection

Surface anomalies flagged from inspection imagery.

COM-02
Gauge and flare reading

Analog gauges and flare states read from live video.

COM-03
PPE and safety-zone monitoring

Compliance alerts from existing CCTV.

COM-04
Drawing digitalization

DXF/DWG drawings converted to smart DEXPI format.

COM-05
Tag detection on P&IDs

Instrument tags found and indexed automatically.

COM-06
Engineering document OCR

Datasheets and scans made searchable.

// How it works in practice

What you actually get

CV-F1 · CAMERAS

From cameras you already have

No new hardware needed to start — models run on your existing CCTV and RTSP feeds, at the edge or on a server.

>Works with existing CCTV/RTSP >Edge or server deployment >Alerts to control room or phone
OBJECT DETECTION // CAM-04
CORROSION · 0.97 GAUGE-12 · 0.96 CAM-04 LIVE · 24 FPS
P&ID SHEET 07 // TAG DETECTION
P-101ATI-204
FV-330
TAGS FOUND  214 FORMAT      DXF → DEXPI INDEX       SEARCHABLE · CHAT-READY
CV-F2 · DRAWINGS

Drawings become data

Dumb DXF/DWG files become DEXPI-format smart drawings with every tag detected, indexed and searchable.

>DXF/DWG parsed to DEXPI >Tags detected and indexed >Searchable, chat-ready drawings
CV-F3 · TUNING

Tuned to your site

Models are trained on your footage and drawings, with a review loop that drives false alarms down over time.

>Trained on your footage >Site-specific object classes >False-alarm review loop
FALSE ALARMS / WEEK
REVIEW LOOP — ACTIVE
// More capabilities

Vision services we also provide

CV-01

Image segmentation and scene reconstruction

Break complex scenes into meaningful regions, and build 3D models of real environments from visual input — for digital twins, spatial analysis and training.

>Region-level analysis for inspection>3D reconstruction for twins and planning
SCENE · RECONSTRUCTION
VIDEO · PIPELINE
CV-02

Video analytics and quality inspection

Track movement, detect patterns and flag defects on production lines and finished goods — from live or recorded footage.

>Defect detection on the line>Behaviour and pattern tracking
CV-03

Facial recognition and site safety

Reliable identity verification for access control, and real-time activity detection that helps teams respond proactively in critical situations.

>Access control at gates and rooms>PPE and safety-zone alerts
SAFETY · SITE
// Tools and technology

Built with proven tooling

OpenCVOpenCV
PyTorchPyTorch
TensorFlowTensorFlow
NumPyNumPy
Hugging FaceHugging Face
PYTHON PYTORCH OPENCV YOLO TESSERACT
// Process

How we deliver

01
Feed and drawing audit

Sources, quality and formats assessed.

02
Labeling

Site-specific classes annotated.

03
Model training

Detection tuned to your imagery.

04
Site pilot

Live trial with alert review.

05
Rollout

Scaled across feeds and sites.

SMHCODERS // METHOD

Your cameras and your drawings are sensors. Vision models turn both into live, structured data.

Book a free consultation
// FAQ

Common questions

Do we need new cameras?+

Usually not. Models run on your existing CCTV and RTSP feeds; we assess feed quality in the audit and tell you if a viewpoint genuinely needs hardware.

What data do we need to start?+

Most engagements start with 6–24 months of historian, lab or document data. We audit coverage in the first week and tell you plainly if it is not enough — before you commit.

How long until we see results?+

A proof of concept on your historical data typically lands in 4–8 weeks. Production deployment follows once the KPI target is met and your team signs off.

Where does it run, and who sees our data?+

On your infrastructure — plant-side servers, your Azure or AWS tenancy, or an air-gapped network. Data never leaves your boundary, and nothing is used to train third-party models.

Who owns the result?+

You do. Handover includes source code, documentation, training sessions and a retraining plan.