The Challenge
Brands need to understand their customers on a deeper level. Therefore, they employ market analysts to measure consumer preferences – the better the data, the better the insights. Passive solutions such as facial analysis sit on the cutting edge of AI and provide rich information. But they comprise many bits and pieces, making them hard to deploy in stores. Moreover, brands operate under continuous changes in merchandise display, floorplan layout, audience demographics, and regional trends. Flexibility and constant monitoring are critical but hard to achieve.
A computer vision application requires high-resolution cameras (the eyes), strong computer processors to run powerful AI models (the brain), and an easy-to-use interface to summarize the results. These are a lot of specialized pieces that need to fit together for the application to work as expected. Zenus and Seeed came together to provide an all-in-one solution powered by the NVIDIA Jetson to simplify the process and fulfill your needs.
The Solution
Picture a smart device that connects to any camera and processes the video feed. All you need to do is power up the unit, and it works instantly.
The device sends the meta-data to the cloud to generate actionable reports. You have access to real-time metrics such as foot traffic, demographics, sentiment analysis, and more. – all ethically sourced and displayed live on an interactive dashboard.
The benefits? Foot traffic information is used to compute conversion rates and predict sales. Demographics data help companies understand whether they reach their target audience while being more inclusive and personal. Sentiment analysis allows them to see what works and why.
It is the first time that marketers have access to a complete sales funnel that helps them understand consumer behavior in physical spaces. The data may also be used to predict and estimate future performance.
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