adaptive.vision 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.
*All AI.adaptive solutions are built and rely on Microsoft Azure services.
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.”
adaptive.vision 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.
adaptive.vision can perform human tasks with an incredible speed reducing business costs.
Detect production issues or defects in manufacturing.
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.
Ensure the shelf is always stocked with the correct product.
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.
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.
Automation of data collection and analysis can lower the employees training costs.
Gather and analyze information about customer shopping behaviour.
Detect persons without safety helmet, shoes, goggles, gloves, protective clothing etc in real time.
Reduce human error and get highly accurate data insights.
Detection and counting cars can determine traffic jams, drivers behaviour, traffic violations.
Stop wasting time doing manual inventory! With live object counting employees gain a lot of time to manage other important tasks.
Using AI trained models you can implement real-time allerts to store staff for quick action.
adaptive.vision 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 adaptive.vision 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.