AI Tech's Smart City solution

on YouTube ↗02m

" summary

AAEON hardware hosts GPU-accelerated deep networks that run multiple vision apps on edge, claiming real-time performance on the AAEON Boxer device. Implementations include car counting and classification, traffic density and pedestrian detection, people counting and crowd heatmaps with quantitative occupancy estimates, plus gender and age estimation and thermal-camera intrusion detection. Smoke and fire models are also integrated, and the uploader reports these deep learning algorithms run well on the device in deployed tests.

AI-written summary · about

" chapters (6)

1. 0:00Start
2. 0:13Al for computer vision
3. 0:29Retail, traffic management, Smart City
4. 1:07Biographical recognition
5. 1:18Intrusion detection
6. 1:29Crowding estimation, Heatmapping

" related talks

• 22mBuilding the AI City: Edge-to-Cloud AI Inference for Smart CitiesAdam Scraba · Industrial IoT Virtual Summit 2020
• 19mHow to Deploy Artificial Intelligence in Industrial ApplicationDavid Liu, Rick de Vries, Magic Pao, Maurice van der Aa, James Hsu · Industrial IoT Virtual Summit 2020
• 10mRealizing the Power of AI at the EdgeMagic Pao · Industrial IoT Virtual Summit 2020
• 06mAI in production: The droids you’re looking forJonathan Ballon · Artificial Intelligence Conference in London 2018
• 28mVision, Big Data and AIHani Elgebaly · DSC MENA 2025
• 18mEdge AI: Driving Agentic Workflows and ProductivityStuart Hubbard · droidcon London 2025
• 21mPowerAI Vision & Other Solutions on an AI BoxArvind Bharani, Adith SV · OpenPOWER Summit North America 2019
• 09mDefining Your AI Eco-System with AdvantechMaurice van der Aa · Industrial IoT Virtual Summit 2020