FishlRecognition™
Like facial recognition but for fish
Overview
FishlRecognition™ is a revolutionary system that can identify, measure, and sort fish in real time using high-definition cameras, LED lights, and AI algorithms. The system is designed to facilitate fish passage monitoring and management, as well as provide accurate and reliable data for fisheries research and conservation.
Benefits
Accurate and consistent fish identification and measurement
FishlRecognition™uses advanced AI algorithms that can accurately identify and measure fish in real time, regardless of the environmental conditions, turbidity, fish orientation, or fish speed. The system can distinguish between different species, as well as wild and hatchery fish, based on the presence or absence of an adipose fin. The system can also calculate the fork length and girth of each fish, which are important indicators of fish health and growth.
Efficient and safe fish sorting and passage
FishlRecognition™ can be used in combination with the GateKeeper™, a hands-free automatic sorting system that can direct the fish to different destinations based on the FishlRecognition™ data. This can be useful for separating fish by species, size, origin, or other factors, depending on the management objectives. The system provides a fast and gentle way of sorting and passing fish, without causing any stress or injury to the fish or requiring any human handling.
Reliable and accessible fish data collection and management
Automatically records and logs all the data associated with each fish that passes through the system, including the date, time, count, species, size, and image files. The data can be uploaded to the cloud or retained locally, where it can be accessed remotely by authorized users in near-real time. The system eliminates the need for manual data collection and logging, which can be prone to errors, biases, estimations, or inconsistencies. The system also enables easy data analysis and visualization, as well as data sharing and collaboration among different stakeholders, making meeting compliance record-keeping and reporting a snap.
Features
Camera 1/6
Camera 2/6
Camera 3/6
How It Works
FishlRecognition™ consists of a hood-like structure with a V-shaped light-diffusion layer that creates a smooth and gentle slide for the fish. As the fish slides through the system, six cameras (three using near-infrared and three using visible light) capture 18 images of each fish from different angles. The images are then processed by AI algorithms that recognize the fish species, size, and other features, such as the presence or absence of an adipose fin. The system can also be integrated with the Guardian™, a hands-free automatic sorting system that uses the FishlRecognition™ data to direct the fish to different destinations based on pre-set criteria. The system operates autonomously and uploads the data to the cloud, where it can be accessed remotely by authorized users.