Strengthening Artificial Intelligence with Raspberry Pi for Global Businesses

Sanam Malhotra | 4th November 2019

Raspberry Pi is a small yet highly acclaimed step into the future of software development. The credit-card sized computer powers web surfing, programming, gaming, and more in a surprisingly cost-effective manner. Artificial intelligence with Raspberry Pi is emerging as a powerful business mechanism to improve efficiency, processes, and conversion metrics. Leading providers of artificial intelligence services are opening new business opportunities by channelizing the machine learning algorithms of AI with Raspberry Pi. 

This blog post explores some innovative use cases of artificial intelligence ith Raspberry Pi for global businesses-


1) Video and Music Streaming

The combination of Raspberry Pi with AI’s computer vision capabilities is breaking the grounds with innovative business applications. Businesses can optimize their facial and object recognition models by running a deep neural network on Raspberry Pi.

Deep learning image recognition technologies such as OpenCV and TensorFlow use vast Python libraries and rich datasets. The integration of these ML technologies on Raspberry Pi enables SMBs to accelerate productivity and efficiency in a cost-effective manner.

Below are some significant use cases of AI with Raspberry Pi-

a) Deep video analytics at construction sites safeguard operators from any overlooked flaws in machinery and ensure proper safety management.

b) Manufacturing businesses can keep track of shelf inventory and employee activities with real-time machine learning video analytics.

Related- AR Meets AI | Analyzing Industrial Use Cases and Business Benefits


How does Oodles AI reinvent video analytics with Rasberry Pi?

With experiential knowledge in building ML-based image recognition models, the AI team at Oodles empower global businesses with dynamic computer vision services. We have achieved over 80% accuracy in detecting image differences and extracting information with the following TensorFlow applications-

  • A Raspberry application that scans bars and clubs to analyze their social conditions with real-time video and music streaming capabilities. We installed a well-trained OpenCV model on Raspberry Pi that informs party-goers about live music streaming status at listed bars.

artificial intelligence with raspberry pi

Also, the AI-powered Raspberry application uses facial recognition algorithms to analyze the in-house crowd of the bar in question.


2) Quality Inspection

Quality products are the most important attribute of successful businesses with a loyal customer base. Today, more than ever, customers are concerned about product quality and durability. The application of artificial intelligence with Raspberry Pi can redesign manufacturing operations with greater efficiency.

AI-powered computer vision and predictive analytics technologies enable manufacturing businesses to inspect the volume, equipment fails, and defects. ML-powered predictive analytic engines enable businesses to manage waste, overproduction, logistics, inventory, etc. with appropriate risk calculation.

Related- Applications of Artificial Intelligence (AI) in the Food Industry


How does Oodles streamline manufacturing processes using Artificial Intelligence with Raspberry Pi?

We, at Oodles AI, provide high-octane computer vision services and predictive analytics development services that accelerate manufacturing processes with precision. Our AI analysts analyze your business infrastructure to build function-specific ML models that ensure low decision latency during production.

Below are some quick benefits of AI-powered Raspberry Pi systems built with Oodles-

a) Real-time fault prediction and preventive maintenance

b) Demand and supply management

c) Price Optimization and labor cost reduction

d) High-quality production

Talk to our AI development team to know more about our artificial intelligence development services.

About Author

Sanam Malhotra

Sanam is a technical writer at Oodles who is currently covering Artificial Intelligence and its underlying disruptive technologies. Fascinated by the transformative potential of AI, Sanam explores how global businesses can harness AI-powered growth. Her writings aim at contributing the multidimensional values of AI, IoT, and machine learning to the digital landscape.

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