To properly measure the resilience of ecosystems a need to move from a single-species approach towards a more mechanistic ecosystem approach. Mar-Par a newly developed tracking software automates In-situ measurements. The assembled SUNADAYODACAM has an add-in environmental sensor and is part of a larger structured research equipment. It consists of a SUNA nitrate sensor (SBE), YODA-profiler (JFE-Advantech), and the portable video camcorder. MarPar automates the video editing and synchronizing with the SUNADAYODA sensors. The camcorder videos are of high-resolution and complex hence a multifunctional high-performance tracking software was necessary to handle a fast-sinking video, 50 cm/sek. MarPar performs measurements on each suspended particle in a video of 3-4 hours, at up to 200 m depth. The software then categorizing every particle within the video in to three main groups, marine snow with aggregates, zooplankton, and phytoplankton. In situ measurements have been scarce due to the fragile nature of suspended particles. Traditional sampling methods often lacking resolution ore/and distribution information of organic matter at depths. That is the study of small, suspended particles and other microorganism distribution is becoming more dependent on optical systems.  MArPar software uses image processing with numerus algorithms to handle the tasks above. Performing Image recognition and segmentation of objects above 100 μm along object size measurements. Measurements are used for further categorizing zooplankton by their shape and size. Data obtained shows the effects of the Kuroshio current by pinpointing enhancement of productivity. Such biologically active areas are an indicator of fish abundance.To properly measure the resilience of ecosystems a need to move from a single-species approach towards a more mechanistic ecosystem approach. Mar-Par a newly developed tracking software automates In-situ measurements. The assembled SUNADAYODACAM has an add-in environmental sensor and is part of a larger structured research equipment. It consists of a SUNA nitrate sensor (SBE), YODA-profiler (JFE-Advantech), and the portable video camcorder. MarPar automates the video editing and synchronizing with the SUNADAYODA sensors. The camcorder videos are of high-resolution and complex hence a multifunctional high-performance tracking software was necessary to handle a fast-sinking video, 50 cm/sek. MarPar performs measurements on each suspended particle in a video of 3-4 hours, at up to 200 m depth. The software then categorizing every particle within the video in to three main groups, marine snow with aggregates, zooplankton, and phytoplankton. In situ measurements have been scarce due to the fragile nature of suspended particles. Traditional sampling methods often lacking resolution ore/and distribution information of organic matter at depths. That is the study of small, suspended particles and other microorganism distribution is becoming more dependent on optical systems.  MArPar software uses image processing with numerus algorithms to handle the tasks above. Performing Image recognition and segmentation of objects above 100 μm along object size measurements. Measurements are used for further categorizing zooplankton by their shape and size. Data obtained shows the effects of the Kuroshio current by pinpointing enhancement of productivity. Such biologically active areas are an indicator of fish abundance.