is defined as a solution that leverages artificial intelligence (AI) to allow computers to obtain meaningful data from visual inputs such as photos or videos. The insights gained from computer vision are then used to take automated actions.

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*All AI.adaptive solutions are built and rely on Microsoft Azure services.

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Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.” can influence the entire value chain of industrial, manufacturing, retail or many other industries.


Image recognition uses Computer Vision to detect and identify people, items, places, writing or otherwise specific features on an image. Recorded data like pictures from different manufacturing steps in a production line, for instance, could be used to make real-time decisions based on detections of any quality or process deviation.

Image recognition use cases are found in different fields like manufacturing, healthcare, marketing, transportation, and retail.

  • DEFECT DETECTION - It is able to find defects that hasn't seen before and you can train it on images of defect-free objects or materials.
  • PROCESS TRACKING - Automation of visual inspections of production lines, equipments, product quality and optimization.
  • CROWD COUNTING- Count people in a space for crowd control.
  • WORKPLACE SAFETY - Monitor all safety measures within the workplace and detect breaches.

Speed up processes can perform human tasks with an incredible speed reducing business costs.

Improve accuracy

Detect production issues or defects in manufacturing.

Completeness check

Monitor the production line to control the assembly process.


The solution is fully customizable depending on your business needs. It can be integrated with any other solution.


Object detection is the task of detecting instances of objects of a certain class within an image. When humans look at images or video, we can recognize and locate objects of interest within a matter of moments. The goal of object detection is to replicate this intelligence using AI.

  • OBJECT RECOGNITION - Locates all the object existing in an image;
  • OBJECT CLASSIFICATION - Helps us to classify what type of objects are contained in an image and sort them in categories.
  • OBJECT COUNTING - Perform live object counting.
  • OBJECT TRACKING -  Is the task of automatically identifying objects in a video and interpreting them as a set of trajectories with high accuracy.

Shelf management

Ensure the shelf is always stocked with the correct product.

Reduces costs

Reduce operational costs by automaticaly detect, monitor and track your products or equipments.


The solution is fully customizable depending on your business needs. It can be integrated with any other solution.

Inventory assesment

Stop wasting time doing manual inventory and reduce human error.


Image Recognition and Object Detection techniques can help consumer brands to standardize store checks and get consistent results from all the sales channels allowing them to make business decisions based on shelf data confidently.



Constantly collecting useful data regarding customer behaviour,
production line, products movement,
equipments and more.


Analyze image/video data from your camera system in different contexts by using state-of-the-art computer vision models. Obtain relevant information and detect patterns in real time.


Make better and informed data-driven decisions from statistical analysis and model building from the extracted meta-data using machine learning techniques.

Lower training costs

Automation of data collection and analysis can lower the employees training costs.

Customer analytics

Gather and analyze information about customer shopping behaviour.

Safety prevention

Detect persons without safety helmet, shoes, goggles, gloves, protective clothing etc in real time.

Data accuracy

Reduce human error and get highly accurate data insights.

How does it work?

Use case scenarios

Traffic reports

Detection and counting cars can determine traffic jams, drivers behaviour, traffic violations.

Live product inventory

Stop wasting time doing manual inventory! With live object counting employees gain a lot of time to manage other important tasks.

Out of stock allerts

Using AI trained models you can implement real-time allerts to store staff for quick action.

Warehouse management can be used to streamline inventory management by increasing its visibility but also for quality inspection,  monitoring, sorting and optimization.



Object detection models can be trained to be of assistance to key retail tasks such as planogram inspections, shop-floor stock rotation or out-of-stock notifications.


Used extensively for the purpose of product and part identification. This automation improves the efficiency and accuracy of Quality Assurance, Sorting and Assembling.


We can detect a parking slot using computer vision, a subfield of Artificial Intelligence, which speeds up the parking procedure and reduces traffic congestion, as well as help cars to position in parking lots.


Applying tools, companies can automate logistics processes in a way no one even imagined a decade or two ago, making some systems fully autonomous. That creates great opportunities in terms of error prevention as well as effective use of space.

Get in touch with one of our colleagues to find out more about our products and how we can customize them to fit your business needs.

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