Face Detection

Redefining Hybrid Meetings With AI-powered 360° Videoconferencing

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The global pandemic catalyzed a boom in videoconferencing that continues to grow as companies embrace hybrid work models and seek more sustainable approaches to business communication with less travel. Now, with videoconferencing becoming a cornerstone of modern […]

Redefining Hybrid Meetings With AI-powered 360° Videoconferencing Read More +

“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… “Using AI to Enhance the

“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies Read More +

Enhancing Face Detection Through Noise Reduction: A Breakthrough in Visual Recognition

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the ever-evolving landscape of security technology, the accuracy of face detection plays a pivotal role in safeguarding our surroundings. However, the accuracy and efficiency of face detection algorithms can be significantly challenged, especially in low-light conditions

Enhancing Face Detection Through Noise Reduction: A Breakthrough in Visual Recognition Read More +

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

Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor Read More +

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

Gigantor Technologies Demonstration of Removing Resource Contention for Real-time Object Detection Read More +

Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a

Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition Read More +

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 a Smart Door Lock Using Facial Recognition Read More +

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

Microchip Technology Inc. Demonstration of Low-Power Facial Recognition Using the PolarFire® SoC FPGA Read More +

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

NXP Semiconductors Demonstration of Face Following with the MCX N Microcontroller Read More +

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

Nota AI Demonstration of Revolutionizing Driver Monitoring Systems Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top