Counterfeit drugs are running rampant around the world. Case in point: More than one million people die each year from counterfeit drugs—and more than 200,000 people die each year from counterfeit anti-allergy drugs alone.
Some of the most common counterfeit drugs include antibiotics, HIV/AIDS and cancer medication, antidepressants, drugs to treat erectile dysfunction, weight-loss supplements, and anti-malaria medication. AI (artificial intelligence) can help.
As one example, an AI-based counterfeit detector comes from Cypheme. Found in OpenAI’s GPTStore, this tech can allow consumers to verify the authenticity of health products using a smartphone. Here’s how it works. The deep tracing tech can distinguish between genuine and counterfeit products by analyzing photos of the product packaging.
Here is how this can help:
- Detect counterfeit medicine by spotting anomalies in the packaging.
- Distinguish between fake and genuine products with a 99.54% accuracy rate.
- Exclusively trained using images of authentic packages, making it less challenging for an image-processing AI.
With roughly €1.77 trillion on the table globally for counterfeit and pirated goods, this technology can help solve a global problem: counterfeiting. Looking to the future, we need to continue to use technology such as this for good to combat the nefarious characters that are out there.