Solving real-world challenges with video analytics software
Like many fast-evolving new technologies in the Artificial Intelligence (AI) space, video analytics software can suffer from sensationalism. But, realistically, the ability to automatically detect objects and actions in video footage isn’t a solution to all our problems – despite the hype.
At Sydney’s 2023 Security Exhibition & Conference, Editor at Security Solutions Media, John Bigelow, interviewed a panel of industry experts to set the record straight. The discussion – Using Artificial Intelligence to solve real-world customer challenges – featured Patrick Elliott, CEO of VisualCortex; Michael Lang, Solutions Architect Manager at NVIDIA; and Director of Vixels Pty Ltd, Aaron Terrey.
The conversation delved into utilizing AI, particularly AI-powered video analytics technology, to address real-world challenges. The full session recording is embedded below:
Discussion panel highlights
Key insights and topics covered include:
1. Identifying video analytics use cases:
Aligning technology capabilities to real-world business challenges, rather than overly-sophisticated ‘art of the possible concepts’, the solving of which can be directly linked to tangible benefits.
2. Defining video analytics – the difference between AI-enabled and standard video analysis capabilities:
How the introduction of AI-powered video analytics solutions has changed what’s possible when it comes to the application of video analysis technology.
3. Managing expectations – identifying customer challenges to realistically solve:
From basic object detections to more advanced behavior analysis, this discussion point unpacks where advanced video analytics technology can deliver best bang-for-buck today, while ensuring both vendors and customers stay focused on accountability and provable business outcomes.
4. Measuring Return on Investment:
Pinpointing the core ways in which genuine ROI should be defined and measured – from streamlining operational costs and creating new revenue streams, to mitigating risks and improving safety.
5. Video analytics regulation and ethics:
What are the standards and frameworks that industry and government should create, evolve and adhere to in order to ensure the responsible development and usage of AI-based video technologies?
6. Re-writing the AI narrative – fear vs a force for good:
Assessing the role of corporations and the media in shaping public perception of AI technology, and how public education campaigns and responsible reporting can help dispel misconceptions regarding video analytics’ capabilities and concerns.
About VisualCortex
VisualCortex is making video data actionable in the enterprise. Its Video Intelligence Platform provides the stability and flexibility to productionize computer vision technology at scale. Able to be used for any video analytics use case in any industry, VisualCortex’s production-ready cloud-based environment transforms video assets into analyzable streams of data.
The VisualCortex platform delivers the artificial intelligence smarts, governance and usability, enabling organizations to connect any number of video streams, repositories and use existing commodity hardware. An intuitive user interface, out-of-the-box reporting, range of configurations and integrations empower non-technical people to produce, analyze and act on insights derived from computer vision throughout the enterprise. Organizations can easily combine these AI-generated video insights with other data sources and systems to facilitate both real-time operations and strategic analysis. The VisualCortex Model Store also provides a secure marketplace for customers, partners and independent machine learning experts to share quality controlled computer vision models.
For more information, visit www.visualcortex.com
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