Best People Counting Software for Amazon Web Services (AWS)
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Compare the Top People Counting Software that integrates with Amazon Web Services (AWS) as of October 2025
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This a list of People Counting software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.
What is People Counting Software for Amazon Web Services (AWS)?
People counting software helps businesses and organizations track and analyze foot traffic in physical spaces such as stores, offices, or public venues. These tools use various technologies, such as cameras, infrared sensors, and Wi-Fi signals, to count the number of people entering or moving through a designated area. People counting software provides valuable insights into visitor behavior, peak traffic times, and space utilization, allowing businesses to optimize staffing, improve marketing strategies, and enhance customer experiences. Additionally, the data can be used for compliance purposes, such as ensuring social distancing measures are adhered to in response to health guidelines. This software is particularly useful for retail stores, shopping malls, museums, and event venues. Compare and read user reviews of the best People Counting software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.
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Amazon Rekognition
Amazon
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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Flonomics
Flonomics
Apply Flonomics data analytics to better understand your brick & mortar location. Our 98% accurate IoT people counting technology analyses traffic flow, visitor occupancy, entry point monitoring and much more to help you turn insights into actions. It's important to utilize our information tool to better understand what's happening inside your organization. It’s time to level the playing field. We’ve taken metrics previously reserved for online retailers and unleashed them for the offline world. We’ve built a dashboard that quickly shows you the information you need, on any device. 100% web-based, secure and accessible anywhere 24/7. Our 98% verifiably accurate shopper counting system gives retailers the confidence to turn data into action. Accurate, reliable & easily installed, our sensors gather the data you need to know exactly how each of your stores are performing. -
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Gravy Analytics
Gravy Analytics
Gravy Analytics processes billions of pseudonymous, mobile location signals every day from millions of mobile devices to understand where people go and why. Billions of daily location signals from mobile devices. The largest events database gives context to millions of places and POIs. Consumer visits built on 100% deterministic location data. Verified and cleansed location datasets via APIs or batch delivery options. Real-world consumer insights for foot traffic, attribution, and competitive analytics. Location-based audiences to drive data-driven advertising campaigns. We want to help companies meet their biggest business challenges head-on with quality location data. To do this, brands and advertisers need context to understand why consumers go where they do. The local events and activities we choose to engage in delivering that context, providing insight into our lifestyles, interests and affinities.
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