EyeGo is an AI computer vision platform that utilizes existing surveillance systems to monitor kitchen hygiene, staff compliance, and operational efficiency in restaurants. By automating quality inspections and providing real-time analytics, it reduces errors and waste while enhancing customer experience and optimizing resource allocation.
Funding
Funding not disclosed
Founders
Product
Problem
Restaurants face challenges in maintaining consistent hygiene standards, ensuring staff compliance with safety protocols, and optimizing operational efficiency across various processes. Manual monitoring and inspections are often time-consuming, prone to human error, and lack real-time insights for timely corrective actions.
Solution
EyeGo provides an AI-powered computer vision platform that leverages existing surveillance systems to automate quality inspections and monitor operational workflows in restaurants. By analyzing video feeds, the platform detects cleanliness violations, verifies adherence to standard operating procedures (SOPs), and tracks key metrics related to staff efficiency and customer experience. Real-time alerts and data-driven insights enable restaurant managers to proactively address issues, optimize resource allocation, and improve overall operational performance. The system acts as a virtual assistant restaurant manager, providing continuous monitoring of kitchen workflows, table occupancy, and staff allocation.
Target Audience
The primary target audience includes restaurant owners, managers, and franchise operators seeking to improve hygiene standards, ensure staff compliance, and optimize operational efficiency through automated monitoring and real-time analytics.
Features
- Automated detection of hygiene violations, such as lack of gloves or hairnets, using existing IP cameras.
- Real-time monitoring of staff compliance with SOPs related to food preparation and handling.
- Analysis of consumer traffic patterns to optimize table management and minimize wait times.
- Workflow analysis to identify bottlenecks and improve staff efficiency at the point of sale.
- Integration with existing surveillance infrastructure via AI Edge hardware and cloud platform.
- Customizable alerts and notifications for immediate response to critical events.
- Data-driven insights and reports on key performance indicators (KPIs) related to quality, safety, and efficiency.