Occuspace Description
Occuspace sensors detect Bluetooth and WiFi signal activity within a specified area, capturing data from laptops, smartphones, wearables, and other connected gadgets. These scans enable the application of machine learning algorithms to accurately estimate the number of individuals present with over 90% precision. Just as a well-designed website should incorporate analytics to understand user behavior, the same principle applies to physical spaces. Occuspace offers insights into spatial usage, revealing how individuals engage with their surroundings and the built environment. Our aim is to simplify the process of comprehending spatial dynamics, thereby unlocking potential and identifying areas for enhancement. This documentation outlines what Occuspace offers, provides guidance on getting started, and explains how the system operates. Importantly, Occuspace is versatile enough to analyze any type of space, regardless of factors such as ceiling height, walkway dimensions, or overall layout. By leveraging this technology, organizations can create more efficient and user-friendly environments.
Occuspace Alternatives
Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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OfficeSpace Software is the #1 AI Operating System for the Built World, delivering an intelligent platform that helps organizations plan, manage, and optimize their physical workplaces. The system unifies space planning, desk and room reservations, wayfinding, visitor management, asset tracking, maintenance workflows, and workplace analytics in a single platform designed for scale and collaboration.
AI-enabled analytics, predictive insights, and automated workflows give teams a clear view of how spaces are used and how people work across locations. Facilities, HR, IT, and Real Estate leaders use the platform to support hybrid and flexible environments, improve space utilization, streamline operations, and enhance the employee experience while reducing real estate and operational costs.
Recognized by Gartner for innovation in the Workplace Experience Applications market, OfficeSpace provides a scalable foundation for future-ready workplaces. By connecting people, spaces, and assets through actionable data, the platform helps organizations make informed decisions and achieve measurable business outcomes.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Ipsos Retail Performance
People counting solutions serve as the cornerstone of our retail technology offerings, playing a crucial role in enhancing store efficiency. Beyond merely recording the number of customers entering, the insights gathered from these systems facilitate informed decision-making at both strategic and operational levels, influencing aspects such as employee scheduling, trend monitoring, and understanding retail space utilization. By utilizing advanced sensors and software for people counting, businesses can pinpoint peak traffic times, strategically position staff where they’re needed most, and gauge the popularity of specific displays or product categories. Furthermore, with immediate access to foot traffic data and analytics, retailers can assess the effectiveness of store layout and promotional efforts by evaluating metrics like customer dwell time, engagement rates, and conversion statistics. Our people counting technology boasts a minimum accuracy rate of 95%, enabling businesses to analyze foot traffic on an hourly basis, which helps reveal contemporary purchasing behaviors and predict future trends. This comprehensive understanding of customer movement can significantly enhance operational strategies and improve overall sales performance.
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Pricing
Pricing Starts At:
$600 per year
Integrations
API:
Yes, Occuspace has an API
No Integrations at this time
Company Details
Company:
Occuspace
Website:
occuspace.io
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
Occuspace Features and Options
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