We are happy to announce that we are launching the next phase of the FISH FACE project together with The Nature Conservancy! Until now we have verified that our software can handle fish species recognition by collecting fish images taken in a on-land fish photo booth. The next step is to design, build and install an on-board photo capturing device to be used on some of the small fishing boats of Indonesia.
The purpose of collecting the images and recognise them automatically is to understand the fish populations better by gathering information about the species, the age, the size and the geographical origin in a more efficient way. We work closely with The Nature Conservancy who are involved in many different fish-related projects - and hope to make a large impact on the fishing industry and fishing research by introducing artificial intelligence and automation. This phase of FISH FACE is planned to take about a year and will involve several field trips to Indonesia for testing and try-outs.
The new fish photo booth should accommodate fish sizes up to 80 cm long, and later on even larger fish. Given the rather rough conditions on these types of boats, the device must be robust and foot print efficient as well as not cause any extra handling for the fishermen. Quite a challenge - stay tuned!
We are happy and proud to announce that the FISH FACE project won the People's Choice Award in the Google Impact Challenge Australia 2016! Since another project, the Great Barrier Reef Foundation, got as many votes as FISH FACE, Google decided to award both projects the extra 500 000 AUD funding.
We are very excited to announce that our Fish Face project is one of 10 finalists in the Google Impact Challenge: Australia! With your vote the project can become one of the winners and receive an additional 500 000 AUD to develop our technology further!
A world without fish is a world without food for half of the world's population. By collecting more data about fish species, age and behaviour in an automated way, we will know more about fish populations and enable a more sustainable fishing. The world needs it - we need it!
The Fish Face project is mainly run by The Nature Conservancy, a world wide environmental organisation, who has access to the fisheries and the expertise knowledge about the fish. The other two project members are we at Refind - proud providers of recognition technology and app development for the automated data collection - and Seth Heine, an entrepreneurial leader with sustainability as the main interest.
Voting is now underway to choose an overall winner to receive extra prize money from Google to further develop FishFace. If you’d like to support a move to sustainable fisheries around the world and keep fish in the sea, vote for FishFace now and help it win. Voting ends at midnight (ADST) October 25, 2016.
We’re also really encouraged that the Australian Government’s Australian Fisheries Management Authority (AFMA) has agreed to share its data to help build the machine learning engine that will be the power behind FishFace.
As a part of their recurring theme 'Women in Recycling', Recycling International has now discovered our woman at Refind - Johanna Reimers. Read the interview here, and look at their website for all other news within the recycling business!
We are happy to announce that Refind are involved in a large fishing data collection project, Fish Face, together with The Nature Conservancy. The software from Refind will be used to identify fish species.
Without proper data, fish can't be sustainable managed. But a new technology could change all of that.
Fish stocks around the world are declining—with an estimated 90 percent of the world’s fisheries over or fully exploited. In developing countries, like Indonesia, the decline of a fishery can have severe consequences—as nearly 40 percent of the Indonesian population lives just above the poverty line, fishing is a way of life and provides an important food source for millions of people.
A key challenge in addressing overfishing is the lack of data on just how many fish still exist. Especially in complex multi-species fisheries, like the ones in Indonesia and in many other tropical developing countries, data just doesn’t exist on all types and sizes of individual fish, making sound management almost impossible. In fact, some 90% of fisheries globally are lacking in stock assessment data. Traditional stock assessment methods are prohibitively expensive, and in the majority of fisheries in the developing world, the condition of stocks is not known.
Facial recognition for fish
The Nature Conservancy’s Indonesia Fisheries program is working with Refind Technologies to identify fish. The project is called Fishface and the ultimate goal is to build this technology into a smartphone app that could be used on fishing boats throughout the region and eventually be deployed around the globe. Through the use of affordable image recognition software that will detect species from photos, much faster and more accurate sorting of fish will be possible at the processing plant, or even as it is landed on the boat.
Ultimately, the pilot of the Fishface technology will offer a low-cost assessment of fish stocks—providing the essential data needed to assess and manage fisheries that are struggling around the world.
The framework envisioned will be applied across these types of fisheries in a multitude of geographies, with the potential to impact the some 260 million people who depend on fish for income and food.
Read this and more here on the The Nature Conservancy website.
The Nature Conservancy (TNC) is the leading conservation organization working around the world to protect ecologically important lands and waters for nature and people. They are present in over 35 countries around the world.