Kogniz Unveils Next-Generation Computer Vision Platform
Kogniz? announces a ready-to-deploy gun detection module as part of the latest version of its technology that predicts, detects, and resolves key safety and operational problems. The company is also announcing a $10 million investment led by Ulu Ventures and with participation by super{set} Venture Studio and its CEO and Co-Founder Tom Chavez, The Indy Fund, K20 Fund, H. Barton Asset Management, and others.
Kogniz Closes $4M Seed Financing To Keep People Safe Using Artificial Intelligence
Kogniz announced a $4M seed financing round led by The Entrepreneurs? Fund, Tom Chavez (Krux acquired by Salesforce.com), Auren Hoffman (Liveramp acquired by Acxiom), and other industry investors who are uniquely focused on machine learning and artificial intelligence. After 24 months of development, the Kogniz team has launched its first suite of products that use computer vision and AI to enhance security, safety and efficiency in any physical environment.
Kogniz Announces Launch Of AI Surveillance Camera
Kogniz announced today the introduction of the company?s first product, AICam. The technology offers businesses fully-autonomous surveillance cameras with artificial intelligence that identify people and threats in real-time, using video-based facial recognition and object detection. AICam is based on the Kogniz Edge Platform, a unique combination of advanced camera processing and cloud services. This architecture allows cameras to be added on-demand without any additional hardware or infrastructure, with multiple cameras working in unison to provide cross-location people identification and recognition.
Computer Vision At The Edge: Where It?s Headed In 2019
2018 has seen great advances in computer vision capabilities. The accuracy of object detection and facial recognition continues to improve, and the number of readily available options based on state-of-the-art deep learning technologies including convolutional and recurrent neural networks continues to increase. The improvements come at a cost – an increase in the complexity and processing requirements of the technologies.