Face Recognition Functions
“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies
Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on nursing homes, hospitals and remote
Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor
Shay Harel, field application engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Harel demonstrates the capabilities of his company’s M4.51 sensor module using a simple Python script that leverages Inuitive’s API for real-time object detection. The M4.51 sensor module, based on the
Gigantor Technologies Demonstration of Removing Resource Contention for Real-time Object Detection
Jessica Jones, Vice President and Chief Marketing Officer at Gigantor Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jones demonstrates her company’s GigaMAACS’ Synthetic Scaler with a live facial tracking demo that enables real-time, unlimited objection detection at all ranges while only requiring training
Microchip Technology Inc. Demonstration of a Smart Door Lock Using Facial Recognition
Swapna Gurumani, Senior Arm Applications Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gurumani demonstrates her company’s SAMA7G54 MPU running facial recognition backed by TensorFlow Lite. When a person whose face is already enrolled presses a button, the smart door
Microchip Technology Inc. Demonstration of Low-Power Facial Recognition Using the PolarFire® SoC FPGA
Nav Gupta, FPGA Application Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gupta demonstrates harnessing the power and thermal efficiency of the PolarFire® SoC FPGA to develop low-power inferencing solutions. This demo showcases the versatility of the SoC with facial
NXP Semiconductors Demonstration of Face Following with the MCX N Microcontroller
Anthony Huereca, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Huereca demonstrates some of the features of his company’s MCX N microcontroller. The AI-based face detection model in this demo enables the screen to react to the movements of the
Nota AI Demonstration of Revolutionizing Driver Monitoring Systems
Tae-Ho Kim, CTO and Co-founder of Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Kim demonstrates Nota DMS, his company’s state-of-the-art driver monitoring system. The solution enhances driver safety by monitoring attention and detecting drowsiness in real-time. Cutting-edge AI techniques make Nota DMS
BrainChip Demonstration of Analyzing Head Pose, Eye Gaze and Emotion with Human Behavior AI
Todd Vierra, Vice President of Customer Engagement at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Vierra demonstrates how BrainChip’s Akida AKD1000 neuromorphic processor detects human emotion. Partnered with BeEmotion.ai, the system monitors the state of the user through real-time observation and perception of
BrainChip Demonstration of Neuromorphic AI in a Compact Form Factor
Todd Vierra, Vice President of Customer Engagement at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Vierra demonstrates inference on the edge using visual wake word and Yolo models using the Akida Edge AI Box to detect and identify people. The Akida Edge AI
Revolutionizing Offline Advertising With Smart Signages and Embedded Vision
This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. The retail landscape has changed significantly in recent years, propelled by technological advancements. The COVID-19 pandemic posed new challenges to traditional retail spaces, which resulted in the need for more innovative communication mediums. To offer customers memorable
The Integration of DMS and OMS Offers Advancements for In-cabin Monitoring
The Global In-Cabin Sensing Market Will Exceed US$8.5 Billion by 2034 In-cabin monitoring, comprising both Driver Monitoring System (DMS) and Occupancy Monitoring System (OMS), has experienced significant growth since the start of 2024. Traditionally, DMS relies on 2D infrared cameras, while OMS utilizes 3D sensing modules like 3D time-of-flight (ToF) cameras or radar modules. At
The Autonomous Home Has Arrived: Experience What’s Possible at CES 2024
This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. As we enter 2024, the smart home is ready to enter a new era. Thanks to two overlapping trends — the arrival of Matter, the interoperability standard from the Connectivity Standards Alliance (CSA), and the
What’s In the Box? In-cabin Monitoring Systems At a Glance
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Twice a month, Yole SystemPlus analysts share noteworthy points from their automotive Teardown Tracks. Today, they take us to the heart of imaging-based occupant and driver monitoring systems (OMS and DMS). Already
What’s In the Box? Driver Monitoring Systems in Chinese Cars At a Glance
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. DMS rely on a simple optical architecture, low resolution and old CIS technologies Twice a month, Yole SystemPlus analysts share the noteworthy points from their automotive Teardown Tracks. Today, Arnaud Morillon, Baptiste
STMicroelectronics Demonstration of Its Next-generation Microprocessors for Industry 4.0 and Edge AI
Louis Gobin, Product Marketing Engineer at STMicroelectronics, demonstrates the company’s latest edge AI and vision technologies and products at the December 2023 Edge AI and Vision Alliance Forum. Specifically, Gobin demonstrates the company’s next-generation MP2 series STM32 microprocessors for Industry 4.0 and edge AI solutions. The next generation of microprocessors is here with STMicroelectronics’s MP2
What are Vision Systems? Everything You Need to Know in 2023
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The ongoing embedded vision evolution carries game-changing implications for various industries. It has the potential to redefine the way machines perceive and engage with their surroundings. Discover the popular types of cameras leading this charge,
Nextchip Demonstration of Driver and Occupant Monitoring On the Apache5 SoC with emotion3D Software
Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the December 2023 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a driver and broader occupant monitoring system (DMS/OMS) running on the company’s Apache5 SoC in conjunction with algorithms from emotion3D. This demonstration leverages a 3Mpixel
A Detailed Look at Using AI in Embedded Smart Cameras
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Combining artificial intelligence (AI) with embedded cameras has paved the way for visual systems that can intelligently see and interact with their surroundings. Discover the role of AI in embedded camera applications, the benefits, and
