Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Dor
Dor is a complete retail people-counting and analytics platform designed to help businesses understand in-store performance through accurate, real-time foot traffic data. It combines proprietary hardware and cloud-based software to capture and visualize how customers interact with physical locations, enabling retailers to track key metrics such as visitor counts, peak hours, conversion rates, and revenue per store. It uses a battery-operated thermal sensor that can be installed in minutes without wiring or reliance on the store’s network, while machine learning algorithms ensure consistent accuracy across different environments without calibration. Once deployed, Dor automatically collects and processes traffic data, making it accessible through a centralized dashboard where teams can analyze trends across locations, compare performance over time, and evaluate the impact of staffing, marketing, and operational decisions.
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AQUAJI
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Aquaji is proprietary software developed by Navori Labs, a Swiss innovator and global leader in AI-enhanced computer vision technologies. Aquaji interprets video feed from one or more cameras to produce reliable and comparable marketing analytics data to measure visitor foot-traffic and customer behavior in physical spaces. For continuous improvement, Aquaji count visitors and gathers demographic data, length of stay, wait time and attention span KPIs.
The software can be used to manage physical stores, assess marketing activities, and improve customer satisfaction. Aquaji will help you understand your store’s traffic patterns, measure the impact of your advertising campaigns, test your product assortment, improve wait time perception, and optimize your staff levels to meet customer demand.
When used in conjunction with Navori’s QL digital signage platform, Aquaji delivers targeted content to any display or device based on the audience profile.
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Traf-Sys
Accurately counting traffic that enters your store or facility empowers organizations to make smarter business decisions. Traf-Sys Inc. offers a full range of people counter systems that help organizations collect foot traffic information. Our powerful sensors and people counting software give actionable information that increases efficiency and profitability. With Traf-Sys real-time traffic counters, you can gain vital insights on revenue, staffing and marketing. Make informed operational choices with our robust visitor traffic counting software.
When choosing a real-time people counting system, you need to consider your facility’s unique needs. Let Traf-Sys customer support experts help you select the traffic counting solution that best fits your goals. They can guide your decision based on traffic density, accuracy requirements and your entrances’ characteristics.
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