Innopharma Technology are excited to announce the Eyecon2 - a non-product contact, real time particle data analyser for use in industries where the size and shape of raw material particles are vital for the finished product.

There is growing demand for AI solutions across business, industrial and public sectors in Ireland. A 2019 study commissioned by the National Standards Authority of Ireland revealed almost 40 percent of Irish companies currently use AI technology and over 50 percent planned to deploy AI by 2024. AI will boost the economic growth an average of 1.7% across 16 industries by 2035.

Irish-based advanced manufacturing technology company, Innopharma Technology are excited to announce the Eyecon2 - a non-product contact, real time particle data analyser for use in industries where the size and shape of raw material particles are vital for the finished product. This technology is used in a wide variety of industries including pharmaceuticals, mining, agriculture, energy, plastics and more. Eyecon2 uses an Image analysis software called EyePASS which now utilises cutting edge Artificial Intelligence (AI).
How This AI & Machine Learning Can Benefit Manufacturers;
Eyecon2 and its use of AI and Machine Learning can benefit drug manufacturers in many ways including;
-Enabling cost-effective production by using predictive technology for resource optimisation and utilisation
-Reducing time to market
-Increased quality assurance and regulatory compliance
-And more
Technique Used By Eyecon2
The main special technique in CNNs is convolution, where a filter slides over the input and merges the input value + the filter value on the feature map. In the end, our goal is to feed new images to our CNN so it can give a probability for the object it thinks it sees.
Convolutional Neural Networks, or CNNs, were designed to map image data to an output variable. They have proven so effective that they are the go-to method for any type of prediction problem involving image data as an input.
Is AI the future of manufacturing?
In the pharmaceutical industry, the basics of drug manufacturing dictate that the firm must produce drugs in high quantities to be profitable and recoup development costs. But this requires efficiency and scalability at every step of the manufacturing process. Incorporating AI and Machine Learning in pharmaceutical manufacturing can address most of these issues. AI in pharmaceutical manufacturing, after an initial lag, is showing promise and will drive the future of the industry. Read more about AI and ML in Pharma Manufacturing here.
About Innopharma Technology:
Innopharma Technology employs over 100 high-skilled scientists, engineers, data analysts, programmers and educators across their Technology, Services and Skills Divisions. For over a decade, the Innopharma Group has worked hard to establish a pedigree of industrial and academic excellence spanning multiple industries in what we consider the 3 central pillars critical to the advancement of manufacturing - Education, Technology, and a Digital-Embracing Culture.