Case Studies of A.I.
The future of several industries will be drastically affected by Artificial Intelligence. This disruption has already begun, and below are some of the case studies of A.I. projects we and our partner organisations have been involved in.
Transcribe Audio to Text
Applying powerful neural network models in an easy to use API. The API recognizes over 110 languages and variants to support a global user base. This makes it possible to transcribe the text of users dictating to an application’s microphone, enable command-and-control through voice, or transcribe audio files, among many other uses.
By using Deep Learning algorithms and third party API, we are able to accurately and efficiently translate texts between thousands of language pairs. The tool can be used to translate specific words or phrases as well as large quantities of text.
AI and Optical Character Recognition (OCR) detects salient regions, making it easy to add video and image analysis to a wide variety of applications. It automatically and accurately identifies people, objects, scenes, texts, and activities, and is also capable of detecting inappropriate content. OCR can be used for facial recognition; detecting, analyzing, and comparing faces for user verification, cataloging, and people counting processes. Intricate algorithms are employed to gather and organise data, build a predictive model, and use it to recognise images, quickly classifying them into thousands of categories.
Analyse photos to see if they are sharp or selfies are correct
Using image compliance algorithms, our image analysis API checks for photo sharpness. It can also be used to check if selfies are correct. The API analyzes single photos or collections of images, returning metrics pertaining to the quality of those images. Particular attention is paid to image characteristics, providing feedback on based on your specifications.
Content moderation (images, videos etc)
AI can be used to help you to mitigate the risks of user-generated content (UGC), whether the focus is on text, images, or videos. Using machine learning we can automatically compare incoming content against your custom-built lists and specifications, preventing any further processing.
NSFW - not suitable for work
NSFW models can detect nudity, profanity, violence, or any other pre-determined adult content. Images are classified according to specific parameters, which can either be in categories (clean, suggestive, or explicit) or scales of impropriety. This form of content moderation helps to keep message boards, forums, and social media platforms safe for users of all ages.
Using Machine Learning, users are able to quickly identify both mega and micro-celebrities from various domains including sports, politics, movies, music, business, arts, science, and social media. We build tools that are ideal for cataloguing photos and footage for a variety of different applications including marketing, advertising, and media coverage. The tool is able to perform celebrity comparisons, prevent users from posting celebrity pictures, and filter image sets based on content.
Build automated tools that automatically locate human faces in digital media - images or video - based on algorithms that slowly “learn” to distinguish between abstract features and the human face. Once the AI model has detected a face, further analysis can be done on landmark features as a basis for facial recognition.