Smart Larvae Analysis and Counting
A camera and deep learning find the larvae in an image, count them and record the size and condition of each one.
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The problem
Counting larvae by eye is slow and tiring, and results vary from person to person. Decisions about feeding, density and sales need numbers you can rely on.
Capabilities
- Automatic count for each sample
- Separation of overlapping larvae
- Length measurement and size distribution
- Detection of inactive or damaged larvae
- Records and reports for every sample
- Trainable for different species
Technical specifications are set for each project.
How it works
Image
The sample is placed under a camera with controlled lighting.
Detect
The model separates individual larvae, even when they overlap.
Measure
The length and shape of each larva are measured.
Report
Count, size distribution and sample condition are recorded.
Where it's used
- Aquaculture hatcheries
- Beneficial insect rearing
- Biology labs
- Sample quality control
Have a problem that needs solving? We'll test the solution on real data.
Write a few lines about your project and the Fanrob team will get in touch.
Request a product demo