https://store-images.s-microsoft.com/image/apps.50397.25ff332f-12bc-4f67-a74d-ef5cc817e17f.aa7e2acb-5a46-41b4-bff7-b3c69e6df5df.21a9d448-6752-43d5-b53a-f56db2e6fee3
Real-time marketing and operational insights by turning products interactive
Product recognition using computer vision is a technology that enables application to identify and categorize various products based on visual details. By analyzing images or video streams, computer vision can automatically detect and recognize specific products, such as consumer goods, retail items, or industrial components. It employs advanced algorithms to extract meaningful features from the visual data, comparing them with a pre-trained database or using machine learning techniques to make accurate predictions about the identified products. We have Applied this technology in applications in identified and recognizing the product providing efficient and reliable output.
At a glance
https://store-images.s-microsoft.com/image/apps.51207.25ff332f-12bc-4f67-a74d-ef5cc817e17f.aa7e2acb-5a46-41b4-bff7-b3c69e6df5df.675887ac-2c15-4324-9aa9-bc477bdc15c8
Other apps from Verofax Limited
Smart Asset Management & Seamless TraceabilityVerofax LimitedIncrease consumer satisfaction, boost productivity & build relationships across the supply chain
+1
Applicable to:
SaaS
NaN out of 5
Smart Asset Management & Seamless TraceabilityVerofax LimitedIncrease consumer satisfaction, boost productivity & build relationships across the supply chain
+1
Applicable to:
SaaS
NaN out of 5
Conditional Reward Dispensing service with Cognitive AIVerofax LimitedReal-time marketing and operational insights by turning products interactive
+1
Applicable to:
SaaS
NaN out of 5
Conditional Reward Dispensing service with Cognitive AIVerofax LimitedReal-time marketing and operational insights by turning products interactive
+1
Applicable to:
SaaS
NaN out of 5
Product Image Generation for Training Using Cognitive AIVerofax LimitedHigh efficiency computer vision training using generative AI
+1
Applicable to:
SaaS
NaN out of 5