The startup develops a smart packaging technology that integrates printed sensors to monitor internal conditions within food packaging throughout the supply chain. This technology enables retailers and food companies to perform noninvasive inspections, reducing food waste and enhancing revenue by identifying pack defects in real-time.
Funding
Funding not disclosed
Founders
Product
Problem
A significant portion of food produced globally is wasted due to spoilage, with a substantial number of modified atmosphere packages (MAPs) failing before reaching consumers. Traditional methods of assessing food freshness, such as date codes, are often unreliable due to variations in storage conditions and handling throughout the supply chain. This leads to economic losses for retailers and food producers, as well as environmental concerns related to food waste.
Solution
Senoptica Technologies provides a smart packaging solution that integrates printed oxygen sensors directly into MAP lidding film. These sensors enable non-invasive, real-time monitoring of the internal atmosphere within food packaging. An in-line scanning system reads the sensor output during the packaging process, allowing for the rejection of defective packs. Handheld devices can also scan the sensors at any point in the supply chain, enabling spot checks of product freshness. This technology allows for strategic price reductions on products nearing spoilage, reducing waste and increasing revenue.
Target Audience
The primary target audience includes retailers and food companies using modified atmosphere packaging who seek to reduce food waste, improve product quality, and increase revenue through real-time monitoring of package conditions.
Features
- Printed oxygen sensors integrated directly into MAP lidding film using food-safe ink
- In-line scanning system for 100% inspection during the packaging process
- Handheld devices for spot-checking pack conditions throughout the supply chain
- Non-invasive monitoring of oxygen levels within the package
- Capability to predict product spoilage date based on sensor readings
- Integration with existing packing lines for seamless implementation
- Option to repack food from rejected packages, minimizing waste