Funding
Funding not disclosed
Founders
Product
Problem
Many organizations lack accurate, real-time data on employee attendance and customer traffic patterns. Traditional methods of tracking attendance and customer visits are often manual, time-consuming, and prone to errors. Businesses also struggle to understand customer demographics and behavior within their physical locations, hindering efforts to optimize staffing and improve customer experience.
Solution
Cradle AI offers a computer vision platform that uses facial recognition to automate attendance tracking and provide insights into customer demographics and behavior. The system analyzes video streams from existing IP cameras to identify employees and visitors, recording entry and exit times. An administrator panel allows for easy employee registration using photos and required information. The platform provides analytics on visitor age, gender, and peak hours, enabling businesses to optimize staffing levels, reduce wait times, and target marketing efforts.
Target Audience
Cradle AI targets banking, retail, and education organizations seeking to automate attendance tracking, optimize staffing, and gain insights into customer demographics.
Features
- Facial recognition algorithms to identify employees and customers from video streams.
- Automated attendance tracking with entry and exit time recording.
- Customer demographic analysis, including age and gender.
- Visitor counting to track the number of customers entering a location.
- Waiting time analysis to identify and reduce customer wait times.
- Administrator panel for employee registration and data management.
- Compatibility with existing IP camera infrastructure.
- Data analytics dashboard providing insights into traffic patterns and customer behavior.