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Fresh fish isn’t really that fresh – even straight off the boat, the way they are caught and killed is not only inhumane, but also harmful to the resulting meat. There’s a more advanced option, but it’s time-consuming and manual – but Shinkei Systems has found a way to automate it even on a moving boat, and has spent $1.3 million to bring the machine to market.
It’s unpleasant to think about, but harvesting fish doesn’t give much thought to the comfort of the fish. How can fishing boats work on a scale? What generally happens is that the fish are thrown out of the net, roughly sorted, and thrown onto the ice to roll around and finally suffocate minutes or hours later. not good!
This is not only cruel, but it causes the body of the fish to deteriorate rapidly, due to stress, wounds and bacteria in the blood and lactic acid in the muscles.
Of course, anyone who catches fish individually knows to keep them in the water or kill them immediately to get the best flavor. Usually this includes hitting him on the head and then cutting off his head. It’s still not pretty, but it’s better than the alternative.
But there is a better way, a traditional Japanese method called ike-gym. Doing it this way is not only very humane, but it keeps the meat well, so it can be extended for days or weeks, and the taste is better. The problem is the art form.
Ike-jim involves piercing the brain with a sharp spike to send the fish into the sky, then quickly decapitating it, followed by decapitation of the spinal cord. Horrible, yes, but all of these things prevent stress, pain, and the spread of bacteria and harmful substances in the body. But it must be done correctly, and within two minutes of the fish being caught, so it is not measured correctly.
That is, unless you automate it, which is what Shinkei Systems did. Led by founder Saif Khawaja, the team has developed a mechanical method of processing EK-Jim for fresh-caught fish at a rate of one every 10-15 seconds.
Schinke machine on fishing boat, left. Co-founder Saif Khajawa, right.
The machine, which is about the size of a large refrigerator, includes a scoop for incoming fish, a work area, and a product that goes into an ice bath. A computer vision system identifies the species and shape of the fish it contains, separates the brain and other vital parts, and goes through the motions of the ike-gym, dispatching the fish quickly and safely.
“The robots work with surgical-level precision – our vision for this is completely hands-free, no operator. But it’s not simply edge detection; we use machine learning in our spines. Even in the same species, even with the same contour, the brain is in a different place. Our technological advantage is adaptability to all fish.
Not all of this was done in some isolated Silicon Valley garage, either. “We have deployed our first versions in pilots. When I first started this project, I was taking midnight greyhounds as they came out to the docks at 3 AM, because that was the only way they could talk to them. We’re working with fishermen in Maine, New Hampshire and Cape Cod, and we’ve partnered with major restaurant distributors in Manhattan.
Shinkei and his friends aren’t just going through all this for the sake of the fish. Kitchens pay a premium for IK-JIM processed fish because it tastes better and lasts longer. Schinke’s question was whether machine-processed fish could compete with hand-processed fish.
The fish prepared at Ike-jime on the left has less blood circulating in the flesh, is said to taste better and last longer.
“Perhaps the most fun and the easiest thing, we gave our fish to a sous chef from one of the best Michelin-starred restaurants in the world,” he says. “We gave him three boxes of fish: one person failed, one hand was ready, and the third is us. It was obvious that he had been kidnapped, but he couldn’t tell the difference between the two.
Sushi chefs are more likely to know the technique, but ike-jime is starting to catch on outside of its current niche and Shinke is here to accelerate that. By making it as easy as installing a machine, it allows more fishing boats and distributors to participate, making more money and doing business right in Assam.
Schinke raised $1.3 million in a pre-seed round in January and is now seeking additional investment, making initial design tests and refinements. “What we’re doing with this increase is improving R&D and improving the throughput of the device,” which runs slower than experts, but has plenty of room for improvement. “We should be ready to go into production in the next few months. Now that we’re in the sales process, we’re getting more big distributors and public companies. We just want to get the machine into people’s hands.”
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