
The ABYSS testing knife leverages artificial intelligence and NIR technology to evaluate durian ripeness on the spot. It delivers immediate, on-site analysis directly in the field, operating entirely offline without relying on Wi-Fi or cloud connectivity.

Fruit Maturity Testing Knife (ABYSS) is a smart handheld device designed to assess fruit maturity using Near-Infrared (NIR) spectral analysis combined with embedded AI processing. The device integrates edge AI capabilities directly on hardware, enabling real-time classification without cloud dependency.

Instantly determine fruit maturity on-site with AI-powered analysis, eliminating guesswork in harvesting decisions.
Replace subjective manual evaluation with data-driven spectral analysis for more reliable and repeatable results.
Perform accurate maturity classification directly on-device without relying on cloud connectivity, ensuring usability in remote environments.
Designed for real-world farm conditions with a compact, durable structure refined through iterative field testing.

Used to standardize ripeness inspection and support consistent harvesting decisions across large farming areas.

Used to ensure durians reach the optimal harvest stage before export, improving product quality and reducing shipment risks.

Used to quickly inspect durian quality from multiple farmers before purchasing, grading, and distribution.
Drive operational efficiency, boost revenue, and simplify workforce management with smart harvesting.

Reduce dependency on highly skilled workers and minimize harvesting mistakes to optimize operational costs.

Speed up ripeness inspection and harvesting processes, enabling businesses to handle larger orders and increase revenue opportunities.

Easy to use with minimal training required, allowing businesses to deploy workers flexibly without relying on specialized expertise.

Collect durian samples
Record ripeness data
Build training dataset

Train AI model
Optimize detection accuracy
Deploy model into device

Validate detection accuracy
Test device stability
Fine-tune performance

Review testing results
Conduct final evaluation
Complete customer acceptance
AI-Powered Durian Ripeness Inspection with NIR Technology
The solution utilizes integrated Near-Infrared (NIR) technology to analyze durian ripeness directly through the stem, enabling fast, consistent, and data-driven harvesting decisions with on-device AI processing.
