#Novell flir driver#

For instance, urban planners might visualize path maps across a busy intersection to uncover the causes of congestion or accidents.

When video data is aggregated, analyzed and visualized over time it becomes a valuable tool for uncovering patterns and preferences.Ĭities and governments can review dashboards and reports that demonstrate how locals and visitors interact with infrastructure and can then leverage this intelligence to dynamically schedule maintenance, discover trends and plan for the future.

For smart cities, video data is critical for empowering local law enforcement, streamlining everyday operations and planning for the future. This metadata is then indexed to enable users to search, act on and quantify the information derived from video content. Video content analytics refers to a deep learning and artificial intelligence-driven technology that analyzes video to identify, track, extract and classify the objects that appear. Urban Planning and Infrastructural Development With the basic infrastructure in place, cities can powerfully transform video into actionable intelligence by introducing video content analysis for supporting urban planning and traffic optimization, enhancing situational awareness and real-time response and promoting public safety and economic growth. Most cities and law enforcement already leverage video surveillance, mostly for security purposes, whether for combing footage for investigation evidence or city monitoring and situational awareness. In this article, I’d like to discuss one technology that exemplifies the convergence of cost efficiency, infrastructure maximization and data optimization - video content analysis based on video surveillance.

The smart city is one that plans and executes based on actionable intelligence, and, therefore, it selects enabling technologies with data extraction and analysis capabilities. For instance, the city might identify which solutions can provide data intelligence realizing that data is the cornerstone of the smart city technology stack. To that point, when cities consider technological investments, they should not only shop for new solutions but also take a critical look at existing integrations and evaluate which technologies could be leveraged differently to extract more value. As any municipal or law enforcement officer knows – resources are limited, so any technology selected must be cost-effective and designed to increase productivity moving forward. To overcome challenges, optimize productivity, increase public safety and drive long-term growth, forward-thinking cities are integrating Internet of Things (IoT) sensors and artificial intelligence (AI)-driven technological solutions.Īlso known as smart cities, cities and towns seeking to leverage operational enhancement technologies, should be considering three factors when embracing solutions. Municipal leaders work tirelessly to meet the needs of current residents and businesses – while trying to attract new ones – planning and reinforcing activities that evoke a sense of physical security, efficient and effective management and economic prosperity.

#Novell flir driver#

For cities of all sizes, continually enhancing local quality of life is the driver of everyday city operations.