GTC is NVIDIA’s annual conference, and Chooch will give a presentation on Computer Vision Platform Innovation and Case Studies, a product demo on Deploying Computer Vision to the Edge, and a panel, Delivering on the Promise of Smart Cities with AI. Register for NVIDIA GTC then follow this link to sign up for any of the three Chooch AI presentations, and 100s more informational sessions from 4/12 to 4/16.
The massive growth of IoT devices and its new applications is driving edge ai with an explosive increase in revenues expected to go from 2.8 billion U.S. dollars in 2019 to 9 billion by 2024. The rise of edge computing has been significantly transforming how organizations are collecting their data, processing it, and gaining insights for more data-driven business decisions. But, what is an edge device?
Imagine a manufacturing facility with a team of quality control inspectors that never get tired, never get distracted, and always perform their jobs with laser-point accuracy. Even better, these defect detection inspectors provide their services for a fraction of the usual cost.
The benefits of detecting falls using action detection, computer vision and edge AI outweigh the costs. By reducing the risk of falls and the costs that come with delayed fall response, AI models provide our partners and customers with real value.
Early fire and smoke detection using AI for safety and security have massive benefits. The savings to life and property are much higher than the cost of deploying these models. Faster and more accurate AI-enabled fire detection can save lives and property which brings unparalleled value to Chooch AI customers and partners.
The power of computer vision is poised to have a positive impact on the $3 trillion workers compensation space. AI models can help prevent 85% of injuries in the workplace – slip & fall, manual materials handling, tool accidents and struck-by’s. In this executive briefing, ADLINK, StrongArm Technologies and Chooch AI will discuss how the integration of their three technologies enables enterprises to detect the lack of safety gear and dangerous conditions and alert workers and management on a real time basis. Hear from leaders not only about the impact on costs and worker safety, but also the practical solution available now for the workplace.
As the name suggests, an AI computer is any computing machine that can do work in the field of artificial intelligence. Thanks to the rapid pace of technological developments, even modest consumer hardware can today be considered an “AI computer,” capable of running cutting-edge ai models.
This technology briefing covers the full lifecycle of dataset generation, AI model creation and deployment and inferencing on the edge. Emrah Gultekin, CEO of Chooch AI, presents case studies and a walkthrough of the AI platform.
As face authentication systems continue to improve, their use is becoming more and more widespread, from catching your next flight to the smartphone in your pocket. According to a report by the National Institute for Standards and Technology (NIST), the best face authentication algorithms now have an error rate of less than 0.2 percent, far better than human performance. However, face authentication technology on its own isn’t foolproof. In order to thwart malicious actors and bolster security, many organizations have taken to using face authentication with liveness detection. But what is liveness detection exactly, and how does liveness detection for facial authentication work?
From the ROI of AI to using AI for industrial safety, this wide ranging 9-minute Digital Executive podcast sheds light on why every organization must invest in AI. Brian Thomas CTO of Coruzant Technologies interviews Chooch AI’s Vice President of Strategy and Growth. Michael shares with Brian how he started his career as a technologist, moved into Wall Street as an investor, and is now back in technology working with AI technologies.