ACL Digital Implemented AI-Driven Digital Transformation in Aquaculture
Overview
A German company specializing in digital aquaculture sought to transform fish farming by building an advanced AI-powered digital assistant. This solution aimed to empower Smart, data-driven decisions to ensure sustainable aquaculture practices. The company needed to commercialize and scale its AI modules to achieve this vision, transitioning from local components to a robust, industrialized, cloud-based pipeline. ACL Digital played a pivotal role in transforming this ambition into reality.
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Challenges
Transitioning the entire AI pipeline to the cloud, including training, prediction, and post-processing
Scaling the prediction pipeline from single-customer, single-camera operations to support multi-customer, multi-camera environments
Ensuring reliable anomaly detection in prediction outputs
Enhancing functionality by integrating advanced modules like weight regression for biomass calculations
Solutions
- Streamlined the training pipeline by utilizing heavily discounted spot instances, persisting models in EBS volumes, and maintaining them in AWS S3 buckets.
- Scaled the prediction pipeline to support multi-customer, multi-camera setups, significantly increasing usability.
- Integrated an outlier detection module to identify and eliminate anomalies from prediction results.
- Incorporated a weight regression module to calculate biomass and seamlessly deliver results to the user interface.
Outcomes
- Modularize, scale, and migrate their solution from localized components to an industrialized, cloud-based pipeline
- Achieve significant cost and effort reductions in onboarding new customers
- Establish a scalable, future-ready infrastructure to support the company’s growth in the aquaculture market
