Product updates, research publications, and partner news across AI, IoT, and Web3.
There are many images in our albums which are far from ideal due to bad lighting conditions, low resolution, or noise. Sensifai's enhancement pipeline applies deep neural processing to restore and improve image and video quality.
Read more →Vehicle tracking in the network of traffic cameras is a must for future smart cities. Sensifai and DAI-Labor Berlin partnered to deploy AI-based vehicle tracking across urban camera infrastructure.
Read more →Machines and devices which comprehend human voice and interact with verbal commands are becoming central to enterprise workflows. Sensifai's audio classification models handle speech, sound, and music recognition at API scale.
Read more →We are constantly bombarded by unwanted and undesirable images and scenes via digital media. Sensifai's NSFW detection API enables automated content moderation for user-generated platforms.
Read more →Sensifai monitors all user-generated images and videos on your platform in real time and removes content that violates community standards — without sacrificing accuracy or appeal capacity.
Read more →What is the name of this church? Who created this tower? Sensifai's landmark recognition model identifies architectural landmarks, monuments, and geographic features from images and video frames.
Read more →Brand logos are very important in modern marketing and advertisement. Sensifai's logo recognition model powers ad-tech platforms, brand monitoring, and broadcast sports analysis.
Read more →Assistive technologies such as Amazon Alexa, Apple Siri or Google Lens have revolutionized human-device interaction. Sensifai builds the same capability into smartphones, drones, and robots — with no network dependency.
Read more →Sensifai launched a live video recognition demo at the Amazon AWS Amsterdam tech summit in collaboration with AWS. The demo recognized celebrities, logos, landmarks, nudity, scenes, objects, attributes, sports, and actions.
Read more →MediaRoad assigned the Quality Label to a Sandbox project: the Sensifai celebrity recognition system built for VRT, the Flemish public broadcaster. The system automates tagging of media archives at broadcast scale.
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