BrainChip is set to unveil its cutting-edge event-based AI vision technology at Embedded World 2025.
BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a pioneer in ultra-low power, brain-inspired AI solutions, is gearing up to demonstrate its latest advancements at Embedded World 2025. The event, taking place from March 11-13 in Nuremberg, Germany, will feature BrainChip’s Akida™ 2 processor technology integrated with Prophesee’s event-based vision sensors.
Revolutionizing Gesture Recognition with Event-Based Vision
BrainChip’s Akida technology is designed to enhance embedded AI applications by maximizing efficiency and reducing latency. The demonstration will highlight the power of event-based vision for gesture recognition, leveraging the Akida 2 FPGA platform and Prophesee’s EVK4 development camera. Unlike traditional methods, this combination captures rapid movements with high sparsity, ensuring only essential data is processed—leading to faster response times.
This breakthrough in computer vision has significant implications for fields such as autonomous vehicles, industrial automation, IoT, security, surveillance, and AR/VR.
Enhancing AI Deployment with Compact, Efficient Processing
By integrating Prophesee’s event-based vision sensors with BrainChip’s Akida technology, developers can create compact, efficient AI solutions. These low-power designs are ideal for wearables and other power-constrained devices, enabling advanced video detection, classification, and tracking capabilities.
“By combining our technologies, we achieve ultra-high accuracy in a small form factor, making advanced video analytics possible in compact devices,” said Etienne Knauer, VP of Sales & Marketing at Prophesee.
Expert Insights and Future AI Applications
Dr. M. Anthony Lewis, Chief Technology Officer at BrainChip, will present a session titled “Fast Online Recognition of Gestures using Hardware-Efficient Spatiotemporal Convolutional Networks via Codesign” on March 12 at 1:45 p.m. as part of the Embedded Vision track. His talk will focus on how Temporal Enabled-Neural Networks (TENNs) can enhance various vision applications, demonstrating State-of-the-Art performance in gesture recognition.
“Faster and more efficient gesture recognition is a game-changer for AI developers,” said Dr. Lewis. “The ability to detect and track gestures with unprecedented speed and accuracy significantly expands the potential of AI-powered applications.”
Expanding AI’s Role in Edge Computing
BrainChip’s Akida platform is engineered to support AI deployments in resource-constrained environments. Its event-based processing model makes it an ideal solution for robotics, drones, automotive applications, and other systems requiring efficient real-time visual analysis.
For those interested in learning more about BrainChip’s participation at Embedded World 2025, registration details can be found here.
