WELCOME TO SPOOKFISH
Intelligent Vision Machines
Solving challenges using Machine Vision and AI
ABOUT US
Spookfish Innovations solve complex manufacturing challenges using cutting-edge computer vision and machine learning techniques.
Our team of scientists and engineers endeavour to deliver intelligent vision machines that dramatically improve industrial quality inspection in the Pharmaceutical and FMCG sectors.
Some of the exciting work we have been involved with
How can Snipe help you?
How and why is machine learning changing automated quality control? If you would like to learn more, please join our second webinar in the series on visual quality inspection. In this webinar we will be exploring methodologies, advantages and tradeoffs in the use of machine learning towards tools such as automated calibration of what we term intelligent vision machines. Whether you are on a production line in the pharma, automotive, electronics, food and beverage, medical or military sector this webinar is worth attending.
Unfortunately, COVID-19 has left us even more detached and separated around the world… However, to reduce the distance between us all, Spookfish has decided to host webinars, in hope that despite the distance between us, we can still form a relationship with any clients or people interested in our company. Our aim is to keep you as informed as we can during these uncertain and daunting times. During the seminar, we informed the attendee's about SNIPE. SNIPE is a high-speed and robust inspection system that is retrofitted on the packaging line to verify the integrity of bottle seals. Accordingly, Snipe employs precision technology and easy-to-use software, hence, Snipe remains both minimalist and cost-effective. Furthermore, SNIPE ensures problems that arise during the heat seal process are flagged immediately, rather than at the end of the shift or later in the manufacturing process, thereby reducing the cost to rectify the damage, potential recalls and negative feedback due to sealing issues. Although this webinar was the first, it will not be the last! Keep an eye out for more information about webinars in the future!
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