![]() ![]() ![]() Moreover, the startup says the technology enables its platform to support multiple deployment environments, including cloud, gateway, on-premises, and hybrid. The platform monitors the confidence level of reach new prediction, prioritizing predictions with the lowest level for review while a core learning engine searches for configuration variations, ostensibly lessening the need for manual intervention.Ĭogniac claims that with deep convolutional neural networks - types of AI models often applied to analyzing visual imagery - its system can achieve accuracy over 90% prior to human corrections. Once deployed, these models can learn new characteristics, adapting based either on archival imagery or data users enter. ![]() Cogniac then monitors and improves classification, identification, counting, and measuring through a feedback system while integrating with third-party apps to deliver alerts and notifications.Ĭogniac generates custom AI models for scenarios based on imagery and feedback. ![]() They might specify surface damage and supply chain quality control inspections, for example, or accident prevention and real-time physical threat detection. Cogniac’s AI platform has customers connect machine vision cameras, security cameras, drones, smartphones, and other sources and define objects and conditions of interest to them. ![]()
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