“We know that Servian has the skills, and practical experience delivering real-world computer vision projects, to help organizations achieve business value quickly and great ROI over the long haul. Their deep footprint, trusted client relationships and large workforce will also help us scale fast, underpinning VisualCortex’s channel-based go-to-market strategy across ANZ.”
Associate Partner and Head of AI / ML at Servian, Andy Huang, said that the VisualCortex partnership would enable Servian clients to facilitate enterprise-wide computer vision programs. “Unlike camera-side or point solutions – which typically focus on one video analytics challenge per deployment – VisualCortex delivers a highly performant enterprise-grade platform to facilitate any real-time or historical video analytics use case,” said Huang.
“Where VisualCortex offers significant value to Servian’s clients is its extensibility – it’s easy to deploy, use and add new use cases as they emerge. We’re able to leverage commodity hardware to perform video analytics at scale. VisualCortex can also be deployed anywhere clients desire – from on-premise and on-the-edge, to public and private clouds, or a hybrid approach. This means we get started faster and significantly reduce the barrier-to-entry for our customers.”
“Through the platform approach, we’re also able to readily adapt to changing client needs. Once we’ve started a video analytics project, we often find that three or four other use cases quickly emerge. With a range of intuitive dashboards and reports, combined with the ability to easily integrate video-based data generated in VisualCortex with other data sources, we see enormous potential to democratize access to video analytics throughout the enterprise. We want to enable our customers to realize the value across all parts of their organisation.”
Servian works with a wide range of customers within the video analytics field across ANZ – from retail and transport to logistics and occupational health and safety.“We’re particularly excited to see how we can help our transport clients enhance their computer vision capabilities with VisualCortex,” said Emery. “We’ll do this across a range of use cases – from proactive incident detection and traffic flow management to timetable optimisation and automated number plate recognition.”