INFINIQ Demonstrates its Latest Technology Optimized for Autonomous Driving

Las Vegas – INFINIQ, a leading AI data service provider specializing in autonomous driving, demonstrated its sensor fusion annotation technology at CES 2023 using lidar and camera sensors.

INFINIQ’s end-to-end data platform, DataStudio, includes data collection, anonymization, and annotation throughout the data processing lifecycle to improve autonomous driving perception. The company’s AI-powered automated video and image labeling service is highly accurate (99.7%), cost-effective, and fast, increasing productivity by up to 2 times while reducing costs for AI projects.

At the CES exhibition, visitors were able to see themselves labeled in real-time as the AI model detected and identified human behavior, a crucial feature for autonomous vehicles to identify the behavior of people on the street to prevent accidents. INFINIQ’s anonymization solution, Wellid, was also on display, allowing visitors to see it automatically detect and anonymize all identifiable faces and license plates in videos and images by blurring or deepfaking at high speed with 99.9% accuracy. This solution is useful for protecting personal information in the large amounts of data collected for autonomous driving, while also complying with privacy laws such as GDPR and CCPA.

INFINIQ’s MyCrowd platform, an AI-powered data annotation platform, was also demonstrated at the exhibition. It uses a pre-trained AI model to label a variety of objects and has the ability to increase annotation speed by up to 10 times. MyCrowd also includes an AI-powered 3-level data quality control process to ensure labeled data meets customer requirements and provides a 99.7% high-quality dataset. Additionally, the platform offers a sensor fusion annotation tool that allows for the simultaneous labeling of 2D images and 3D point-cloud data, as well as 3D segmentation. Customers can use the platform’s dashboard to track the status of their annotation projects on a daily, weekly, or monthly basis.