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Computer Vision

Image and video understanding, in operation. We build vision systems that inspect, count, and track in the real world, from the factory line to the field.

They hold up where lab demos fall short: difficult lighting, rare failure cases, and the throughput of a live system. Built small enough to run right at the edge.

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TRUSTED BY TEAMS AT:

  • Deutsche Telekom logo: white stylised letter T on a magenta background
  • Uniper logo in blue, showing the word "uniper" split across two lines.
  • GOLDBECK logo in bold black uppercase letters on a white background
  • PwC logo featuring the lowercase letters "pwc" in black with two orange diagonal shapes above
  • Vattenfall logo with the name in dark grey bold letters and a circle split into yellow upper half and blue lower half on the right
  • Schwarz-produktion logo on a white background reading “SCHWARZ PRODUKTION” in white text inside a dark blue square.
  • Cornelsen logo — white bold wordmark on a red background
  • Meridiam logo with tagline "for people and the planet" in dark green on a white background.

What is Computer Vision?

Computer Vision is how software turns images and video into structured information: what is in the frame, where it is, and whether something is wrong. In practice, that means sorting images into categories, spotting defects, or counting objects on a line.

The real test is how it performs in operation: under difficult lighting, on rare failure cases, and at the throughput of a live system.

Defect detection

Defects get caught and flagged automatically, early and at a scale no manual check could match. The models stay reliable even on cases they haven't seen before.

Two men sitting side-by-side on a dark green sofa, both using laptops. The man on the left wears a light blue hoodie and is smiling broadly, while the man on the right, with long hair and a beard, wears a brown shirt. They are in a room with white horizontal wall paneling.

Visual inspection and counting

On a production line, cameras watch the whole process, counting items automatically and measuring throughput at every step. The modular framework runs on edge PCs, validated alongside the customer's own IT and production teams.

An over-the-shoulder view of a man using a laptop displaying a web interface at a table, with a water bottle and blurred office background.

Object tracking

We build systems that track objects as they move through a video feed, frame by frame. They turn raw footage into movement you can measure and act on, and run reliably on-site, even when conditions are far from ideal.

Two people sitting at an outdoor table working on laptops, viewed through large, open wooden doors from a dimly lit interior.

Benefits of an iits AI Team

AI is only worth it once it's doing real work, safely, inside the systems you already run. Here's what you get when you build it with us.

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  • Insights from academia and industryJoint research with TU Dortmund and Fraunhofer IML, with delivered work behind it.
  • Runs at the edgeModels small enough to run on-site, on edge PCs or a smartphone, with no round-trip to the cloud.
  • Fits your cloudRobust, lasting solutions that slot into the cloud infrastructure you already run.
  • You stay in controlModern interfaces give you a clear view of what the AI is doing, and the controls to steer it.
  • Transparent metricsHonest numbers on how our models perform, so nothing is taken on faith.

How working with us actually goes

  1. Step 01

    Concept & feasibility

    We start with the use case, agreeing what success looks like and whether it's feasible, technically and financially.

  2. Step 02

    Hardware, sensors & data

    We select and procure the cameras and edge devices, then collect and label the image data your model needs, even if none exists yet.

  3. Step 03

    PoC & production system

    A model trained on your real data stream proves it works, then we harden it into a production system that runs at the edge and stays monitored.

  4. Step 04

    Operation & evolution

    We run the system and watch model quality, retraining as the real world shifts.

Our Work

Deutsche Telekom logo centered on an abstract background of layered magenta, pink, and light-pink curved waves.Software Development
Contract Management System for Broadband ServicesThe development of a central, audit-proof contract management system for fibre rollout, including transparent document storage, deadline tracking and a KPI dashboard.Read the full case study
Blue rounded-square app icon featuring a white stylised document with nested rectangular shapes, centred above a teal wave graphic on a light blue background.Software Development
Web-Based Order Management for Construction SitesThe transformation of an old desktop application into a modern web platform, including functional enhancements.Read the full case study

Areas we support in

Computer Vision earns its place wherever a camera can see what matters. Here are a few areas where we put it to work.

Telecommunications

Document screening, helpdesk automation, and data architecture across network rollout and operations.

Retail

Shelf and image recognition that tracks stock and placement in store.

Waste & Recycling

Contaminant detection on sorting lines, in real time.

Energy & Utilities

Image analysis on plant equipment, for predictive maintenance and optimisation in power generation.

What we build with.

The stack these systems run on with us.

MODELS & FRAMEWORKS
  • PyTorch
  • ONNX
  • OpenCV
  • StrongSORT
OPERATIONS
  • Kubernetes
  • Edge Computing
  • GPU inference

Let's talk about your use case.

Start with a no-obligation project inquiry, and our computer-vision team will give you a straight read on what's possible with your cameras and your data.

Get in touchSee our work

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