Compare Numina vs. Sayiyo

Numina analyzes various activities occurring at curb-level. By collecting data anonymously and in aggregate, the system provides insights into the volume of pedestrian and vehicular traffic, their paths, and overall movement patterns in urban streets. This data aids in assessing detailed traffic safety, environmental factors, and operational metrics within city infrastructures. Additionally, Numina aims to create a data utility that transforms streets into a platform for developers. Upholding privacy as a core value, the design of Numina ensures that its sensors utilize onboard computing to process data while erasing any identifiable imagery, yielding datasets that are both anonymous and secure. It stands out as the only computer vision sensor system specifically tailored for urban environments, having been built from the outset to deliver insights without compromising privacy. While many aspire to create more livable communities, consensus on the best methods often eludes us. Numerous strategies exist for enhancing our neighborhoods, and we are dedicated to assisting cities in arriving at the most effective solutions more swiftly and justly through a data-centric methodology. Ultimately, our mission is to empower urban planners with the information they need to foster vibrant, inclusive spaces.

Sayiyo is an innovative platform for visitor analytics that merges data from both store-entry and foot traffic with a user-friendly web dashboard and mobile application. The Sayiyo PEOPLE component utilizes an AI camera positioned above the entrance to accurately tally the number of entries, ensuring that images are processed on the device itself—never recorded or transmitted to the dashboard—and do not involve facial or individual recognition. Meanwhile, Sayiyo PASS employs radar technology to monitor the movement of pedestrians and their direction. By integrating the data from these devices, the system can effectively compute the visit rate to the store. Additionally, retailers can connect their POS or ERP sales data using a REST API or webhooks, enabling the calculation of conversion rates from foot traffic to sales. The dashboard provides valuable insights, displaying hourly visitor counts, identifying peak times, facilitating store comparisons, and tracking trends over the years, with options for Excel/CSV exports and scheduled email reports. The data syncs approximately every 10 minutes, and the devices can operate offline for up to 20 days, ensuring continuous data collection. Sayiyo boasts a field accuracy of around 95%, and it has achieved nearly 99% accuracy in controlled testing environments. Currently, over 1,000 devices are deployed across Türkiye and Northern Cyprus, making it a preferred choice for retailers aiming to analyze traffic patterns across one or multiple store locations. This comprehensive approach equips businesses with the insights they need to optimize their operations and enhance customer engagement.