About
Simsonar is a Finnish deep-tech company specializing in underwater fish surveillance and AI-driven fish counting systems. Their flagship Optical Fish Counter solutions combine cutting-edge optics, electronics, and software with neural network-based computer vision to deliver real-time, highly accurate data on fish populations in rivers and waterways. Using advanced imaging technology and cloud computing infrastructure, Simsonar's systems automatically detect, classify, count, and measure fish by species, size, quantity, and movement direction — data that was previously impossible to collect at scale without invasive methods. Their AI models are trained to distinguish between species, including identifying and sorting invasive species like pink salmon in arctic Norway. The platform is designed for fisheries managers, environmental agencies, and conservation organizations that need reliable, continuous fish monitoring without deploying large field teams. Simsonar offers flexible service models including camera rental, turnkey installations, long-term data collection subscriptions, and detailed analytical reports tailored to each customer's needs. Notable deployments include a collaboration with FISHBIO to develop an automated fish sorting system commissioned by the Norwegian Environment Agency to combat invasive pink salmon. Simsonar continues to expand its work across the Northern Hemisphere, supporting biodiversity conservation, sustainable fisheries management, and scientific research into aquatic ecosystems.
Key Features
- AI-Powered Fish Counting: Neural network models automatically count fish passing through cameras in real time with high accuracy, eliminating manual counting errors.
- Species & Size Identification: Computer vision algorithms classify fish by species and measure individual sizes, providing granular biological data from underwater footage.
- Migration Pattern Tracking: Records directional movement data to build detailed migration profiles for monitored waterways over time.
- Cloud-Based Analytics & Reporting: Captured data is processed in the cloud and delivered as dashboards, data exports, or tailored analytical reports for fisheries managers and researchers.
- End-to-End Service Model: Offers camera rental, hardware installation, system maintenance, and full data analysis services — customised to each client's operational needs.
Use Cases
- Monitoring annual salmon migration runs in rivers to support fisheries stock assessments and regulatory decisions.
- Detecting and quantifying invasive fish species in sensitive ecosystems to inform removal or management strategies.
- Collecting continuous, long-term fish population baseline data for environmental impact assessments of infrastructure projects like dams or bridges.
- Supporting scientific research on fish behavior, seasonal migration timing, and population trends in freshwater ecosystems.
- Automating fish sorting and species separation at weirs or fish passes for conservation or aquaculture management purposes.
Pros
- Non-Invasive Precision Monitoring: Delivers highly accurate fish population data without physical capture or environmental disruption, making it ideal for sensitive conservation zones.
- Comprehensive Multi-Variable Data: Captures species identity, count, size, and movement direction simultaneously, replacing several manual monitoring methods with a single automated system.
- Proven Conservation Applications: Successfully deployed in real-world government-backed projects, such as invasive pink salmon management in arctic Norway, demonstrating practical impact.
- Flexible Deployment Options: Clients can rent cameras, commission installations, or purchase full-service data packages, making the technology accessible to a range of budget sizes.
Cons
- Hardware Dependency: The system requires physical underwater camera hardware to be installed on-site, making remote or ad-hoc deployments logistically complex.
- Enterprise-Level Pricing: As a specialized B2B/government solution, costs are likely significant and not transparent, potentially putting it out of reach for small research teams or NGOs.
- Geographically Focused: Current expertise and deployments are concentrated in the Northern Hemisphere, particularly Nordic and Arctic regions, which may limit applicability in tropical or Southern Hemisphere waterways.
Frequently Asked Questions
What is Simsonar and what problem does it solve?
Simsonar is a Finnish tech company that develops AI-powered underwater optical fish counters. It solves the challenge of accurately and continuously monitoring fish populations and migration patterns in rivers and waterways without manual counting or invasive methods.
How does the Simsonar fish counting system work?
Underwater cameras capture real-time video footage of fish passing through a monitored waterway. Neural network algorithms process the footage to detect, count, classify by species, and measure fish size. The data is then transmitted to cloud infrastructure for analysis and reporting.
Who are Simsonar's primary customers?
Simsonar primarily serves national governments, environmental agencies, fisheries management authorities, and conservation organisations that need reliable, automated fish population data across rivers and streams.
Can Simsonar identify specific fish species?
Yes. Simsonar's AI models are trained to identify and differentiate between fish species, including distinguishing invasive species such as pink salmon from native species. This capability has been applied in active conservation programs in Norway.
What services does Simsonar offer beyond just hardware?
Simsonar provides a full suite of services including camera rental, on-site installation and setup, ongoing system maintenance, cloud-based data processing, custom data analysis, and detailed reports — all tailored to the specific requirements of each client.
