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Computer Vision

Vision Systems That
See In Real Time
— On Any Device.

Real-time visual intelligence embedded into your product — object detection, OCR, and quality control that runs on mobile, web, and edge hardware, online or off.

Start Your Project See capabilities
60fps
Real-time inference
96%
Detection accuracy
100%
Offline capable
CV OCR EYE Detection OCR On-Device Real-time
What we do

Give your product the ability to see.

Cameras are everywhere, but most of the footage and images they capture go unused. Computer vision turns that visual data into real-time decisions — detecting objects, reading documents, flagging defects, and verifying identity automatically.

We build and optimise custom vision models that run where you need them: in the cloud, in the browser, or on-device at the edge — fast enough for live video, accurate enough for production, and private by design.

Real-time, even on cheap hardware. Quantised models run at 30–60fps on mid-range phones and edge devices.
Works offline, by design. On-device inference means no cloud round-trip and no privacy exposure.
Custom-trained on your data. Models trained for your objects, defects, and conditions — not a generic API.
Object Detection
Real-time tracking & counting
OCR & Documents
Read text from any image
Defect Detection
Quality control on the line
Edge Deployment
Mobile, Pi, Jetson, browser
Capabilities

What our vision systems do.

Every capability is production-ready from day one — not a demo, not an experiment. Built to scale.

Object Detection & Tracking
Detect, classify, and track objects in live video — in real time.
  • Custom YOLO models
  • Real-time tracking
  • Counting & zones
OCR & Document AI
Read and structure text from scans, receipts, and forms.
  • On-device OCR
  • Layout understanding
  • Any format
Defect & Quality Control
Catch surface defects, misprints, and errors before they ship.
  • Real-time line inspection
  • Anomaly detection
  • Reject routing
Facial & Biometric
Recognition and verification for access and identity.
  • Face verification
  • Liveness detection
  • Privacy-first
Edge & On-Device
Run models on phones, Raspberry Pi, and Jetson — offline.
  • TFLite / CoreML
  • Quantised models
  • 30–60fps
Vision Integration
Embed vision into existing mobile, web, or hardware products.
  • Camera SDKs
  • AR overlays
  • Native bridges
Business challenges

Visual problems we solve.

The most common bottlenecks holding businesses back — and exactly how we eliminate them.

⚠ The problem
Manual visual inspection — People eyeballing footage, documents, or products — slow and inconsistent.
Defects caught too late — Problems discovered after packing or shipping, not on the line.
Cloud vision is too slow — API round-trips can't keep up with live video or work offline.
Generic models don't fit — Off-the-shelf APIs miss your specific objects, defects, and conditions.
✦ With Velox
Vision models inspect every frame automatically, consistently, and far faster than a human can.
Real-time, on-the-line detection flags defects before they reach the next stage.
On-device inference runs at 30–60fps with no connectivity required and no latency.
We train custom models on your data so accuracy holds up in your real-world conditions.
How we work

Our development process.

The same proven process across every engagement — from a 3-week build to a multi-month platform.

01
Understand requirements
A focused discovery session — we map your current process, the bottleneck, your data, and the measurable outcome we're building toward. We come with questions, not slides.
Free · 30 minProcess mappingSuccess metrics defined
02
Strategy & planning
We design the right architecture for your problem and deliver a fixed-price proposal within 3–5 days, with a week-by-week delivery plan.
3–5 daysArchitecture designFixed price
03
Build & iterate
We build and rigorously test against your success metrics, with weekly live demos so you see real, working progress — not status updates.
Weekly demosWorking softwareEdge-case testing
04
Integration & deployment
We connect the solution to your existing systems and deploy to your environment. Full source-code transfer included.
Your infrastructureFull source codeTeam training
05
Optimisation & support
Post-launch we monitor, refine, and improve based on real usage. Support retainers available for ongoing engineering.
Performance monitoringIterationSupport retainers
Technology

The stack behind the work.

Production-proven tools — not whatever is trending this month.

YOLO
Detection
OpenCV
Image processing
PyTorch / TF
Model training
TFLite
On-device
CoreML
iOS Neural Engine
MediaPipe
Real-time pipelines
Jetson / Pi
Edge hardware
Python
Vision stack
Why Velox

What makes our work different.

Not every agency has shipped production systems. We have — and the difference shows in everything we deliver.

Custom-built, not templated
Everything we ship is built for your specific problem and data — not a generic template wrapped in your logo.
Scales without the cost
Architected to handle 10× the volume with zero marginal cost. Growth doesn't require proportional headcount.
Secure & compliant by design
HIPAA, GDPR, and enterprise security built into the architecture — private VPCs, encryption, on-device options.
4–8 weeks to production
We eliminate the 6-month cycle. Fixed scope, weekly demos, production in weeks. Velox is Latin for fast.
Senior engineers, every project
No juniors learning on your production system. Every engagement is staffed by engineers who have shipped real systems.
50+
Systems in production
4–8wk
Average delivery
98%
Client satisfaction
0
Junior engineers on your project
Accelerating Intelligence.
Use cases

Where vision delivers.

Deployed across industries — each with different data and constraints. Same production quality across all of them.

Construction
PPE detection and on-site safety monitoring.
Edge AI
Manufacturing
Defect detection and quality control.
Real-time
Agriculture
Crop and disease detection in the field.
Offline
Healthcare
Document intelligence and diagnostics support.
OCR
Retail
Shelf, inventory, and footfall analytics.
In-store
Related case studies

Vision systems we've shipped.

All case studies →
Agri-tech · On-Device CV
On-Device Crop Disease Detection App
Diagnosing crop disease took 30–60 min per visit, with no signal.
Flutter + quantised TFLite EfficientNet, fully on-device
91%
On-device accuracy
7wk
To App Store
Construction · Mobile CV
Real-Time PPE Detection Mobile App
Recurring HSE violations with no scalable enforcement.
React Native + on-device YOLOv8 at 30fps
96%
Detection accuracy
7wk
To production
Logistics · Computer Vision
Real-Time Defect Detection System
Packaging defects caught too late — after packing.
YOLO vision on line cameras at 60fps
94%
Defect accuracy
8wk
To production
FAQ

Common questions.

Anything not answered here — reach out directly.

Ask us anything →
Can it run without internet?
Yes — we specialise in on-device inference. Models run directly on phones, Raspberry Pi, or Jetson at 30–60fps with no connectivity required.
Do you train custom models?
Yes. Off-the-shelf APIs rarely fit real-world conditions, so we train and quantise models on your data for your specific objects and environment.
What accuracy can we expect?
It depends on the task and data, but our production vision systems typically run in the 90–96% range. We define the target before we build.
Can you embed it in our existing app?
Yes — we integrate vision into existing mobile, web, or hardware products via native bridges and camera SDKs.
Get started

Ready to Add
Vision To Your Product?

Tell us what you need to detect — we'll build a real-time vision model that runs where you need it.

Start Your Project See our work
Free 30-min discovery call  ·  Fixed pricing  ·  Production in 4–8 weeks