Next-Gen AI-Driven Multimode Spectroscopy: Transforming Seafood Quality, Purity, and Traceability
The Technology
SafetySpect’s Next-Gen AI-Driven Multimode Spectroscopy technology includes:
- A multi-mode spectroscopy scanner that integrates Fluorescence (FL) Spectroscopy, Visible and Near-Infrared Reflectance (VIS-NIR) Spectroscopy, and Short-wave Infrared Reflectance (SWIR) Spectroscopy
- Artificial intelligence to classify and segment results
SafetySpect’s revolutionary Quality, Adulteration, and Traceability (QAT) technology provides a solution to the problems associated with seafood fraud and seafood freshness. Enhanced with edge computing, the QAT Device is a handheld, battery operated tool capable of identifying the species of fish after it has been cut into fillets with up to 95% accuracy. It can also determine the freshness of a fillet with an accuracy of +/- 1 day.
Traditional methods of testing these characteristics are expensive, time consuming, and require large batch samples. The QAT device is usable by untrained workers, and is an affordable solution that can save money across the supply chain.
Applications
- Seafood processors can use the device to intelligently manage inventory by knowing shelf life.
- Distributors, wholesalers, and retail/food service provides can use the device to ensure product accuracy, reduce waste associated with spoilage, and increase customer satisfaction.
- Certification bodies can use the device to enforce standards and reassure the public.
Benefits
- Identification: The Quality, Adulteration, and Traceability (QAT) device can identify fish species with 95%+ accuracy, and determine the freshness within +/- 1 day.
- Portable & easy to use: Designed to be used in the field by untrained workers
- Versatility: The QAT device is a cost effective solution, and testing is not limited to spot checks.
- No reagents/dyes are required, and results are given in real-time.
- Native digital data will integrate into existing traceability/supply chain software.
- Reduced waste and pollution associated with spoilage
Resources
- Company project website
- White paper on Rapid Assessment of Fish Freshness
- White paper on A Novel Machine-Learning Framework
Company Contact
This technology is under commercial development, and the company is seeking an SBIR Phase III or commercial pilot partner. SafetySpect has just announced a $10M A2 funding round, and is actively seeking investors. For additional information please contact Fartash Vasefi at fvasefi@safetyspect.com.
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Federal Procurement – Sole Source Information
Through the SBIR/STTR Congressional Authority and Policy Directive, companies are eligible for Phase III sole-source contracts to support work that derives from, extends, or completes work funded with SBIR Phase I or Phase II awards. Technologies in the Marketplace that include this statement are eligible for Phase III awards from any federal agency. For more information about Phase III, see this website and reach out to noaa.sbir@noaa.gov with questions. Find a full list of available SBIR/STTR technologies, access the Award Database on SBIR.gov.