Intellectual Property India Publishes Patent Application for A System And A Method To Optically Detect Insect Activity And Causally Correlate Crop Damage Using Adaptive Structured-Light Sensing

MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202621098127 A) filed by Dr. Kunal Bharat Khairnar; Dr. Akash Shivaji Hire; Mrs. Pratiksha Manoj Pawar; Mr. Devendra Sanjay Magar; Mrs. Sonali Ramesh Deore; Dr. Shailaja Bhagwanrao Bhosle; Dr. Sunita Ramlu Mukkawar; and Mr. Karankumar Ramnath Sature on August 13, 2026, for A System And A Method To Optically Detect Insect Activity And Causally Correlate Crop Damage Using Adaptive Structured-Light Sensing.

Inventors include Dr. Kunal Bharat Khairnar; Dr. Akash Shivaji Hire; Mrs. Pratiksha Manoj Pawar; Mr. Devendra Sanjay Magar; Mrs. Sonali Ramesh Deore; Dr. Shailaja Bhagwanrao Bhosle; Dr. Sunita Ramlu Mukkawar; and Mr. Karankumar Ramnath Sature.

The application for the patent was published on October 02, 2026, under issue no. 40/2026.

Abstract: ABSTRACT A SYSTEM AND A METHOD TO OPTICALLY DETECT INSECT ACTIVITY AND CAUSALLY CORRELATE CROP DAMAGE USING ADAPTIVE STRUCTURED-LIGHT SENSING The present disclosure is related to a system and method for optically detecting insect activity and correlating crop damage causally. Temporal coded optical emitters form spatially separated sensing planes, and photodetectors sense interruption and scattering signals generated by an insect. A processor reconstructs an insect trajectory and predicts a crop contact region and selectively controls a structured light projector to capture a pre-contact surface signature. Once insect contact is confirmed, a post-contact signature is obtained accordingly. The signatures are spatially registered to compensate for crop movement and the differences in contour, reflectance, translucency, polarization response and surface morphology are compared. Ambient-light rejection, polarization- based separation, optical self-calibration and delayed rescanning exclude glare, moisture, contamination, pre-existing defects and temporary occlusion. After checking the spatial, temporal, morphological and persistence correspondence, an insect-contact-damage event record is created, resulting in improved detection accuracy, energy efficiency, storage utilization and field reliability without the need for continuous video acquisition or physical insect trapping in farms.

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