AI From the Edge
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AI From the Edge, Alexandru Cocîndă, Head of Development, AiVA Meetup Link: https://www.meetup.com/Warsaw-Kafka-meetup/events/284249290/
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AI From the Edge
- 2. INFLECTIONPOINT’S Pitch Deck Are we Really Watching? CCTVs are everywhere… • 800M+ CCTV cameras1 across the world • 19B+ hours of information recorded every day • $ 45.5B were spent annually2 , just to delete all this data ..Being monitored by the wrong species • Can’t watch multiple screens • Get bored / distracted easily • Prone to human error 1) https://www.cnbc.com/2019/12/06/one-billion-surveillance-cameras-will-be-watching-globally-in-2021.html 2) https://www.statista.com/statistics/864838/video-surveillance-market-size-worldwide/
- 3. INFLECTIONPOINT’S Pitch Deck AiVA’s Vision Leverage A.I. on CCTV infrastructure to extract relevant information. [Retail, Commercial] [Safety] [Traffic Monitoring] [Manufacturing]
- 4. INFLECTIONPOINT’S Pitch Deck AiVA’s Uniqueness A.I. on the Edge • Cheaper, Faster • Lower infrastructure requirements • GDPR & client’s security policy compliant Over the Air • Remote updates • Centralized monitoring 24x7 • Preventive maintenance Leverage Existing Infrastructure • No capex • Quicker on-boarding • Reduced complexity
- 5. INFLECTIONPOINT’S Pitch Deck NVIDIA World’s largest GPU manufacturer NVIDIA Inception Program member (1of 3k globally) Access to A.I. software and high-performance edge computing hardware Microsoft Azure Partner Microsoft for Start-Ups Access to cloud services Access to expert cloud architects Partnerships
- 6. INFLECTIONPOINT’S Pitch Deck Solutions for Retail that AiVA has created… Detecting ‘no-scan’ events at checkout counters Recommendations on managing queues Alerts for empty shelves What profile of customer enters the store, when, and where do they spend most of their time Statistics for the real conversion rate of passers-by to customers
- 7. INFLECTIONPOINT’S Pitch Deck …by deploying on the edge... Store(s) Cameras Perception Device Confluent Cloud Storage option Visualization tool Cloud Edge
- 8. INFLECTIONPOINT’S Pitch Deck …with some challenges… Low internet bandwidth Intermittent internet connection Physical tampering Remote monitoring and management
- 9. INFLECTIONPOINT’S Pitch Deck …using specific tech. Blob Storage IoT Central IoT Edge Proprietary apps • Cradle • Conveyor (part of the demo) • Flügelmann • Caster Kibana Elasticsearch
- 10. INFLECTIONPOINT’S Pitch Deck Live Demo Scout • ViFlow based AI app written in C++ • performs inference on a video stream • Extracts the relevant metadata • Sends the data to the local cluster Conveyor • Data forwarding tool written in C++ • Uses librdkafka • Stores the new offset only after successfully forwarding the message • Adds network and power failure resiliency • Light enough for IoT Devices • The motivation behind it has been validated by Lucas Klein Salgado and Tristan Wilson 1) https://gitlab.com/aiva.vision/cxx-development/scout 2) https://gitlab.com/aiva.vision/cxx-development/viflow 3) https://gitlab.com/aiva.vision/devops/packages 4) https://gitlab.com/aiva.vision/cxx-development/conveyor Apache Zookeeper & Kafka • The local cluster • Stores the messages even in case of network and power failure Confluent Cloud • Pre-configured cloud cluster • Has the ability to forward the messages to virtually any major storage or processing option