Compare 3deye vs. Sayiyo

3deye is a comprehensive cloud-based video surveillance and artificial intelligence analytics platform that upgrades existing cameras, NVRs, IoT devices, drones, and body-worn equipment into smart video sensors without the need for on-premises servers or hardware, as it consolidates both live and recorded footage into a web-oriented solution that accommodates multi-site and multi-brand installations while removing the necessity for bridges or gateways. It features an administrative interface, a video management portal, an alarm monitoring system, a billing module, and dedicated mobile applications for both iOS and Android, all designed on the AWS infrastructure to ensure high availability, cybersecurity for streaming, and scalable options. Additionally, its advanced AI-driven analytics provide a wide array of functionalities such as on-demand object detection, classification and tracking, metadata generation, heat mapping, people counting, color and area searches, behavior and loitering monitoring, automatic license plate recognition, facial recognition, and detection of safety equipment such as hard hats and vests, as well as fire and smoke alerts, all aimed at minimizing false alarms, speeding up incident investigations, and facilitating immediate notifications. By integrating these features, 3deye not only enhances safety and security but also streamlines operational efficiency for various users across different sectors.

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.