Top Voice | AI & Automation Expert, 20+ Years | Keynote Speaker | Best-Selling Author | Forbes Tech Council | 1 Million+ followers ✔️
COMBINING ALGORITHMS to create MORE INSIGHTS In this example, 4 algorithms are using the same input (the image of a car), while each of them produce simultaneously 4 different (and complementary) outputs: - License plate number recognition - Brand and model type recognition - Logo detection - Car color recognition By combining algorithms with complementary outputs, we generate synergies, increasing the value of the insights and creating more use cases This inspiring system is able to identify 100+ cars. It was created by Mohamad Ivan Fanany and his team Key applications: insurance, security, support for blind people, safety... #innovation #technology #artificialintelligence #machinelearning #deeplearning #algorithm --------------------------------------------------------------------------- If you like this post, you can also follow me on: - Twitter https://lnkd.in/fjddMYP - YouTube https://lnkd.in/fcGsrfj - Instagram https://lnkd.in/fKgZCrV --------------------------------------------------------------------------
Raphael Felipe Prates veja aí
Insane violation of privacy; appalling use of technology that can only be useful to those with intent to take advantage of the general public for financial gain.
Siva C cool side project ;)
Carl Rogers
4y
Thanks for sharing Pascal - this provides a useful perspective on how a single 'source' (or data feed) can be used for multiple AI services. In my area, Amadeus Airport Solutions, I could see us embracing such an approach to monitor: 1. Vehicle and aircraft compliance - are vehicles authorized to be air-side? or in a particular zone? 2 Process progress and issues (as per Assaia – The Apron AI) - and service charging/billing. 3. Vehicle driver behavior (speed, erratic behavior, spacing between vehicles and aircraft, etc,) and safety.
Good
Pedro Braga
4y
Luan Bernardo Dias olha isso
عيلان إسلام
4yWao