We Have One Goal
Building the Future of Surveillance
We are at the beginning of a new era in Surveillance accelerated by visual recognition and artificial intelligence. At A-eye Tech, we’re relentlessly focused on developing mature and reliable technology that transforms client businesses and changes the way the industries works.
Retailers can use computer vision to enhance the shopping experience, increase loss prevention and detect out-of-stock shelves. Computer vision is already helping customers checkout more quickly – aiding using self-checkout machines or combining with machine learning to alleviate the checkout process completely.
A strong data strategy. Analytical merchandising. Intelligent marketing. An open analytic ecosystem. Retail omnichannel analytics from A-eye Tech lets you apply analytics to every step of the customer journey for better connections and deeper insights.
computer vision can be utilized in areas like fraud control,
authentication, data extraction and more to enhance customer experience, improve
security, and increase operational effciency.
Using computer vision techniques like facial recognition and
biometric authentication can help banks improve security and
better combat fraud.
Computer vision help banks improve the in-branch experience. With the aid of insights gained from analytics, banks can predict the reason for the customer’s visit to the branch
and proactively deliver personalized and contextual service while also identifying opportunities for cross-sell and up-sell. In addition, analyzing customer sentiments (facial expressions) as they interact with the branch personnel can yield valuable insights to improve service and experience.
One of the key aims when applying computer vision in sports is player tracking. This involves the detection of the position of all players at a given moment in time. Player tracking is a pivotal element for coaches to help improve the performance of their teams, allowing them to instantly analyse the ways in which individual players move on the field and the overall formation of their team.
The use of action and event recognition techniques aim to localise sets of actions that a player performs in both space and time. These techniques can detect events – such as goals, penalties, near misses, and shots – during video clips by identifying visual information about the environment
In manufacturing, businesses use computer vision to identify product defects in real time. As the products are coming off the production line, a computer processes images or videos, and flags dozens of different types of defects — even on the smallest of products.
AI-driven organizations that minimize risk and seize opportunities through deep operational insights and confident decision making. Manufacturing analytics solutions from SAS enable you to tune production operations for minimal cost and risk while capitalizing on data as an asset that helps you deliver innovative services and quality products possible only in the connected economy. We deliver proven value. And we can help you unlock the immense potential of your digital transformation