People Counting
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Contents
When They Talk About Deep Learning, What Do They Mean?
Computer vision people counting makes use of deep learning algorithms to identify and follow specific individuals in live footage captured by ordinary, low-cost security cameras. Whether inside or out, new deep learning algorithms deliver pinpoint accuracy.
Automated people counting and detection in live video feeds is a crucial component of smart video surveillance. Therefore, one of the most important uses of smart cities is automated people counting using cameras. Additionally, it aids companies in analyzing client traffic in both indoor and outdoor settings.
Store headcounts have been more common as a result of COVID-19 precautions taken to curb the spread of the coronavirus. Queue counting is another common use case.
When hundreds of products need to be inspected hourly, the human error rate increases dramatically due to manual inspection. However, even when producing at a high volume, CV still manages to beat human inspectors in terms of speed and accuracy.
Key Features of People Counting
Counting people reliably and consistently across a large number of locations is made possible using computer vision techniques applied to surveillance cameras.
- People detection with deep learning models to detect humans and their trajectory.
- To direct the people detector’s attention, you can mark specific areas (such as entrances, exits, or waiting areas) inside the camera’s view.
- Extremely accurate person counting in complicated, congested environments using deep neural networks.
- In order to ensure privacy, Edge Computer Vision enables on-device machine learning in conjunction with local image processing.
Value of Vision-Based People Counting
With just a few pieces of hardware, footfall counting systems powered by deep learning can achieve pinpoint accuracy.
- Automated and contactless person counting that does not necessitate expensive tracking devices, installation, or maintenance.
- Since standard security cameras can be utilized to count people, the method remains relatively simple to execute, even for extensive use cases.
- Enhanced protection for both employees and consumers through strict adherence to all applicable laws and policies; this includes standards pertaining to COVID-19, for instance.
- Practical knowledge for real-time crowd estimation, peak hour detection, bottleneck identification, and key metric cross-location comparison.
- Drive insights by connecting data to external systems and displaying it in dashboards.
How to get started
An all-in-one computer vision platform, Ai-Smartvision is the foundation upon which this solution rests, providing the robust tools and infrastructure necessary for deployment, operation, and scaling.
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