BrainChip Demonstrates Event-based Vision at Embedded World 2025
BrainChip Holdings (OTCQX: BRCHF) announced its participation at Embedded World 2025 in Nuremberg, where it will showcase gesture recognition capabilities using its Akida™ 2 processor technology combined with Prophesee's event-based camera.
The demonstration will highlight the benefits of low-latency and ultra-low power consumption for gesture recognition using the Akida 2 FPGA platform with Prophesee EVK4 development camera. The integration enables capturing high-speed movement with high sparsity, processing only gesture-relevant information for faster response times.
Dr. M. Anthony Lewis, CTO at BrainChip, will present on March 12 about fast online gesture recognition using Temporal Enabled-Neural Networks (TENNs). The company will also showcase its edge LLM model at the event, highlighting applications in autonomous vehicles, industrial automation, IoT, security, and AR/VR.
BrainChip Holdings (OTCQX: BRCHF) ha annunciato la sua partecipazione a Embedded World 2025 a Norimberga, dove presenterà le capacità di riconoscimento dei gesti utilizzando la tecnologia del processore Akida™ 2 combinata con la camera basata su eventi di Prophesee.
La dimostrazione metterà in evidenza i vantaggi della bassa latenza e del consumo energetico ultra-basso per il riconoscimento dei gesti utilizzando la piattaforma FPGA Akida 2 con la camera di sviluppo Prophesee EVK4. L'integrazione consente di catturare movimenti ad alta velocità con alta sparsità, elaborando solo le informazioni rilevanti per i gesti per tempi di risposta più rapidi.
Il Dr. M. Anthony Lewis, CTO di BrainChip, presenterà il 12 marzo sul riconoscimento rapido dei gesti online utilizzando Reti Neurali Temporali Abilitate (TENNs). L'azienda presenterà anche il suo modello LLM edge all'evento, evidenziando le applicazioni nei veicoli autonomi, nell'automazione industriale, nell'IoT, nella sicurezza e nella realtà aumentata/virtuale.
BrainChip Holdings (OTCQX: BRCHF) anunció su participación en Embedded World 2025 en Nuremberg, donde mostrará las capacidades de reconocimiento de gestos utilizando la tecnología de su procesador Akida™ 2 combinada con la cámara basada en eventos de Prophesee.
La demostración destacará los beneficios de baja latencia y consumo de energía ultra-bajo para el reconocimiento de gestos utilizando la plataforma FPGA Akida 2 con la cámara de desarrollo Prophesee EVK4. La integración permite capturar movimientos de alta velocidad con alta escasez, procesando solo la información relevante para los gestos para tiempos de respuesta más rápidos.
El Dr. M. Anthony Lewis, CTO de BrainChip, presentará el 12 de marzo sobre el reconocimiento rápido de gestos en línea utilizando Redes Neuronales Habilitadas Temporalmente (TENNs). La compañía también mostrará su modelo LLM edge en el evento, destacando aplicaciones en vehículos autónomos, automatización industrial, IoT, seguridad y AR/VR.
BrainChip Holdings (OTCQX: BRCHF)는 뉘른베르크에서 열리는 Embedded World 2025에 참가하여 Akida™ 2 프로세서 기술과 Prophesee의 이벤트 기반 카메라를 활용한 제스처 인식 기능을 선보일 예정입니다.
이번 시연에서는 Akida 2 FPGA 플랫폼과 Prophesee EVK4 개발 카메라를 사용하여 제스처 인식의 낮은 지연 시간과 초저전력 소비의 이점을 강조할 것입니다. 이 통합은 높은 밀도의 고속 움직임을 캡처하고 제스처와 관련된 정보만 처리하여 더 빠른 응답 시간을 제공합니다.
BrainChip의 CTO인 M. Anthony Lewis 박사는 3월 12일에 Temporal Enabled-Neural Networks (TENNs)를 사용한 빠른 온라인 제스처 인식에 대해 발표할 예정입니다. 회사는 또한 자율주행차, 산업 자동화, IoT, 보안 및 AR/VR 분야의 응용 프로그램을 강조하며 엣지 LLM 모델을 전시할 것입니다.
BrainChip Holdings (OTCQX: BRCHF) a annoncé sa participation à Embedded World 2025 à Nuremberg, où elle présentera les capacités de reconnaissance gestuelle utilisant sa technologie de processeur Akida™ 2 combinée à la caméra événementielle de Prophesee.
La démonstration mettra en évidence les avantages d'une faible latence et d'une consommation d'énergie ultra-faible pour la reconnaissance gestuelle utilisant la plateforme FPGA Akida 2 avec la caméra de développement Prophesee EVK4. L'intégration permet de capturer des mouvements à grande vitesse avec une grande parcimonie, en traitant uniquement les informations pertinentes pour les gestes afin d'obtenir des temps de réponse plus rapides.
Dr. M. Anthony Lewis, CTO de BrainChip, présentera le 12 mars sur la reconnaissance gestuelle rapide en ligne utilisant des Réseaux Neuronaux Temporels Activés (TENNs). L'entreprise présentera également son modèle LLM edge lors de l'événement, mettant en avant des applications dans les véhicules autonomes, l'automatisation industrielle, l'IoT, la sécurité et la réalité augmentée/virtuelle.
BrainChip Holdings (OTCQX: BRCHF) hat seine Teilnahme an Embedded World 2025 in Nürnberg angekündigt, wo es die Gestenerkennungsmöglichkeiten mit seiner Akida™ 2 Prozessor-Technologie in Kombination mit der ereignisbasierten Kamera von Prophesee präsentieren wird.
Die Demonstration wird die Vorteile von niedriger Latenz und ultra-niedrigen Energieverbrauch für die Gestenerkennung unter Verwendung der Akida 2 FPGA-Plattform mit der Prophesee EVK4 Entwicklungs-Kamera hervorheben. Die Integration ermöglicht das Erfassen von Hochgeschwindigkeitsbewegungen mit hoher Sparsamkeit und verarbeitet nur gestenrelevante Informationen für schnellere Reaktionszeiten.
Dr. M. Anthony Lewis, CTO von BrainChip, wird am 12. März über die schnelle Online-Gestenerkennung mit Temporal Enabled-Neural Networks (TENNs) sprechen. Das Unternehmen wird auch sein Edge-LLM-Modell auf der Veranstaltung präsentieren, das Anwendungen in autonomen Fahrzeugen, industrieller Automatisierung, IoT, Sicherheit und AR/VR hervorhebt.
- Partnership with Prophesee enables new compact SWaP form factors for expanded market opportunities
- Technology demonstrates ultra-high accuracy with reduced computational and memory demands
- Akida platform offers comprehensive software, hardware, and IP products integration capabilities
- None.
BrainChip’s Akida technology demonstrates the possibilities of embedded AI. As part of its exhibition at Embedded World, the company will showcase the benefits of low-latency and ultra-low power consumption for gesture recognition using the Akida 2 FPGA platform in conjunction with the Prophesee EVK4 development camera. Unlike other approaches, the combination of Prophesee’s event-based vision sensors with Akida’s event-based computing can capture extremely high-speed movement with high sparsity so that only information relevant to the gesture is processed, enabling faster response times. These computer vision systems open new potential in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance and AR/VR.
Integrating Prophesee event-based vision sensors with Akida's event-based processing will enable the development of new, compact SWaP (Size, Weight, and Power) form factors, unlocking fresh product opportunities in the market.
“By combining our technologies, we can achieve ultra-high accuracy in a small form factor, empowering wearables and other power-constrained platforms to incorporate advanced video detection, classification, and tracking capabilities,” said Etienne Knauer, VP Sales & Marketing at Prophesee. “Processing our event-based sensor data streams efficiently leverages their sparse nature, reducing computational and memory demands in the final product.”
Dr. M. Anthony Lewis, Chief Technology Officer at BrainChip, will present “Fast Online Recognition of Gestures using Hardware Efficient Spatiotemporal Convolutional Networks via Codesign” March 12 at 1:45 p.m. as part of the Embedded Vision track. Lewis will discuss how TENNs developed by BrainChip can be used to tackle a wide range of vision tasks. The presentation will highlight how the co-design of the model architecture, training pipeline and hardware implementation can combine to achieve State-of-the-Art performance, using the gesture recognition task as an example.
“I am eager to present to attendees of Embedded World how faster gesture recognition is a game-changer and the opportunity to showcase the advancements that are possible through the combination of our neuromorphic Akida processor and Prophesee’s event-based vision camera,” said Dr. Lewis. “The ability to detect and track using event-based vision sensors with unprecedented efficiency, precision and low power at the edge solves a key challenge for AI developers and opens up an array of possibilities across a wide spectrum of applications.”
BrainChip’s Akida is an event-based compute platform ideal for robotics, drones, automotive and other visual sense-detect-classify-track requirements that cannot support massive compute resources. BrainChip offers a comprehensive range of software, hardware and IP products that can be integrated into both existing and future designs, with a roadmap for customers to deploy multi-modal AI models at the edge.
As the premier global event for the embedded systems community, Embedded World brings together leading experts, key players and industry associations to explore the latest advancements in embedded systems, including hardware and software design, M2M communication, and complex system solutions. To learn more about BrainChip’s participation at Embedded World and to register for the event, interested parties are invited to visit https://brainchip.com/embedded-world-2025-march-11-13/.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses principles that mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Akida at www.brainchip.com.
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Source: BrainChip Holdings Ltd
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