Sayiyo vs. Numina

Sayiyo is a cutting-edge visitor analytics platform that seamlessly combines data from store entries and foot traffic with an intuitive web dashboard and mobile app. The PEOPLE feature utilizes an AI-enabled camera installed above the entrance, which counts the number of people entering without recording or sending images to the dashboard, ensuring that it does not engage in facial or individual identification. On the other hand, Sayiyo PASS uses radar technology to track pedestrian movement and direction. By merging the insights from these tools, the system can calculate the store's visit rate with high precision. Retailers have the opportunity to link their POS or ERP sales data through a REST API or webhooks, allowing for the determination of conversion rates from foot traffic to actual sales. The dashboard presents critical information, showcasing hourly visitor counts, peak visitation times, store comparisons, and year-over-year trend tracking, along with functionalities for Excel/CSV exports and automated email reports. Data synchronization occurs roughly every ten minutes, and the devices maintain offline functionality for up to twenty days, ensuring uninterrupted data collection. Notably, Sayiyo claims a field accuracy of approximately 95%, with nearly 99% accuracy in controlled testing scenarios. With over 1,000 devices currently in operation throughout Türkiye and Northern Cyprus, it has become a go-to solution for retailers seeking to analyze traffic data across various store locations. This all-encompassing strategy empowers businesses to gain essential insights for optimizing their operations and improving customer interaction, ultimately driving better performance. Moreover, as retailers increasingly recognize the value of data-driven decisions, Sayiyo stands out as a pivotal tool in their strategic arsenal.

Numina conducts a comprehensive analysis of activities at the curb level. By gathering data in an anonymous and aggregated manner, the system yields valuable insights into pedestrian and vehicular traffic volume, their movement patterns, and overall dynamics on city streets. This information plays a crucial role in evaluating traffic safety, environmental considerations, and operational performance within urban infrastructure. Moreover, Numina aspires to establish a data utility that converts streets into a resource for developers. With privacy as a fundamental principle, Numina's design incorporates onboard computing in its sensors to process data while eliminating any identifiable images, resulting in datasets that prioritize anonymity and security. It distinguishes itself as the only computer vision sensor system specifically designed for urban settings, constructed from the ground up to provide insights without sacrificing privacy. While many stakeholders strive to build more livable communities, reaching a consensus on the most effective strategies often proves challenging. A variety of approaches are available for improving neighborhoods, and we are committed to helping cities identify the most effective solutions in a timely and equitable manner through a data-driven approach. Ultimately, our goal is to equip urban planners with the essential information to cultivate dynamic and inclusive public spaces that cater to the needs of all residents. Through this commitment, we aim to foster communities that not only thrive but also embrace diversity and accessibility.