The proliferation of sensors and cameras fosters next-generation ecosystems such as smart cities, smart transportation, smart infrastructure, etc. The value lies in accurately translating visual data into actionable insights in real-time. The customer wanted to automate the labeling process for street videos with live footage from various daytime conditions and locations to identify objects such as vehicles, street lights, and pedestrians.
Manually labeling objects from street videos was leading to:
Apexon brought onboard its Image & Video Analytics platform, a proprietary deep learning platform, that speeds up analysis of visual data to enable:
With our deep learning platform for visual data analysis, the customer was able to:
Learn how we assisted a Danish business conglomerate with activities in the transport, logistics and energy sectors to implement a centralized Data warehouse to improve their data quality, analyze the business trend and performance.
Discover how we aided a leading US bank holding company headquartered in Michigan with capability enhancements that ensure a long-term process that reduces data anomaly and mismatch errors, improves operations, and mitigates risks.
Learn how we assisted a leading revenue cycle management services company in the United States in identifying opportunities to improve documentation while also modifying and automating its reconciliation and quality procedures.
Learn how we helped a large physicians group based in the US use deep learning models to improve error identification by 3x and reduce financial leakage by 40%.
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