Computer Vision

Use AI-Assisted Computer Vision to Improve the Customer Journey, Protect Your Brand, and Reduce Operational Costs

Use Cases

AI-assisted and computer vision identification tools improve the customer journey, protect your brand, expedite production, and improve operational efficiency.
Automated Quality Control
Computer vision and machine learning tools automate time-consuming and repetitive processes for Quality Control by flagging and identifying flawed objects for review. Improving quality, reducing time and production costs.
Barcodeless Scanner
Identify, and classify visual content from any source, print, web, video, or VR using computer vision and machine learning tools with a “barcodeless scanner”.
Automated Emotion Analysis
Computer vision can be trained to identify human emotions in any source of visual content.
Human-Computer Interaction
Whether you seek to enable customer sentiment analysis for more accurate product offerings, computer vision delivers improved customer satisfaction.


Identify objects, people, text, scenes, and activities in images and videos.
Text Detection
Text from all forms of visual media, even if it is skewed, low-quality, or distorted, can be extracted with a computer vision. Helping automate content moderation processes, or automatically generate subtitles.
Automate Content Labels
Use computer vision to recognize common objects, scenes, and activities such as skis, a ski chalet, or skiing, within any type of visual media, and classify them with preset labels. Machine learning tools can be used to train computer vision to identify custom objects like brand logos. Helping automate content moderation processes, or automatically generate subtitles.
Technical Scenes
Key segments in videos, including black frames, credits, color bars, and more, become detectable with computer vision, allowing effective and easy ad insertion
Celebrity and Influencer Detection & Analysis
Computer vision tools can be used to automatically and proactively identify celebrities and influencers in any available media, whether print, web, social media or video. Automatically identifying specific, desired attributes like emotional states, branded products, hairstyles, and proximity to offensive material or use of offensive content or gestures. Helping you to protect your brand and identify the appropriateness of brand partners.