THE NEXT STEP IN HUMAN
CENTRIC LIVING
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour,
enabling new human-machine interactions and experiences with intelligent consumer electronic devices.
THE NEXT STEP IN HUMAN
CENTRIC LIVING
NVISO provides artificial intelligence that can sense, assess and act upon human behaviour,
enabling new human-machine interactions and experiences with intelligent consumer electronic devices.
CREATE HUMAN CONNECTIONS
CONSUMER ROBOTS
SMART TOYS
AI-powered and internet-connected toys represent the future of play and learning for children. The NVISO Human Behaviour SDK includes building blocks and tools that accelerate smart toy developments that require the increased perception and interaction features enabled by AI including presence and identity detection, object detection, and emotion and facial expression recognition.
COMPANION ROBOTS
Supporting the interaction of companion robots with their owners in their daily lives. Detect presence and identity through facial recognition. Anticipate and react to owner needs by observing head and eye movements, by tracking head pose and gaze. Pay attention to and appropriately adjust to mood through observation of owner’s emotional state.
HUMAN-ROBOT INTERACTION
Human–robot interaction plays a crucial role in the burgeoning market for intelligent personal-service and entertainment robots. Applications include everything from robots that assist the elderly and severely disabled to entertainment robots at amusement parks. Increasingly, robots that can serve as mobile, autonomous tour guides and information kiosks will grace public places.
PANASONIC NICOBO
CASE STUDY
AI APPS FOR
CONSUMER ROBOTS
PRESENCE AND IDENTITY
Supporting the interaction of companion robots with their owners in their daily lives. Detect presence and identity through facial recognition. Anticipate and react to owner needs by observing head and eye movements, by tracking head pose and gaze. Pay attention to and appropriately adjust to mood through observation of owner’s emotional state.
RUN ON-DEVICE (ANY CAMERA)
Highly accurate biometrics analysis helps in the identification of individuals by precisely recognizing their unique characteristics to ensure patient security. Reliably identify patients and caregivers at the bedside and in the home environment.
FACIAL EXPRESSIONS
Artificial intelligence decodes facial behavior into seven primary emotional states, along with their respective intensity. Emotion analytics allows to infer subtle changes in emotion based on the decoded emotional states.
SIMPLIFIED SOFTWARE DEVELOPMENT
INTEGRATION READY
RUN ON-DEVICE (NO CLOUD)
Lower latency, less power, and greater security of data results in better user experiences from all software running on-device. Supports any camera sensor input.
DEVELOPER FRIENDLY APIS
Our SDK includes documentation, processes, libraries, code samples, and guides that help developers during integration with their own apps. Simple and effective developer API's are provided for quick and fast integration.
EMBEDDED LINUX INTEGRATION
Our software development kits (SDKs) provide all the components you need to start embedded system development on linux. Our SDKs are fully tested and integrated — all packaged together for your convenience.
NVISO NEURO SDK
FOR OEM DEVICES
Device manufacturers can add robust real-time human behaviour features to off-the-shelve camera devices. Featuring NVISO Neuro Models™, that are interoperable and optimised for neuromorphic computing, the NVISO Neuro SDK is designed for high volume consumer devices where cost and power are critical to market success. Flexible sensor integration options and placements are available delivering faster development cycles and time-to-value for software developers and integrators. It enables solutions that can sense, comprehend, and act upon human behavior and designed for real-world environments using edge computing it uniquely targets deep learning for embedded systems.
ACCURATE AND ROBUST
CNNs scale to learn from billions of examples resulting in an extraordinary capacity to learn highly complex behaviors and thousands of categories. NVISO can train powerful and highly accurate and robust models for use in the toughest environments thanks to its proprietary datasets captured in real-world environments.
EASY TO INTEGRATE
Where AI is fragmented and difficult-to-navigate at the edge, NVISO AI Apps are simple to use, develop, and deploy, with easy software portability across a variety of hardware and architectures. It reduces the high barriers-to-entry into the edge AI space through cost-effective standardized AI Apps that are future proof and work optimally at the extreme edge.
ETHICAL AND TRUSTWORTHY
AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. Additionally unfair bias must be avoided, as it could could have multiple negative implications. NVISO adopts Trustworthy AI frameworks and state-of-the-art policies and practices to ensure its AI Apps are "fit-for-purpose".
RUN ON ANY DEVICE
ENTERPRISE GRADE PERFORMANCE
MICROCONTROLLER UNIT (MCU)
AI functionality is implemented in low-cost MCUs via inference engines specifically targeting MCU embedding design requirements which are configured for low-power operations for continuous monitoring to discover trigger events in a sound, image, or vibration and more. In addition, the availability of AI-dedicated co-processors is allowing MCU suppliers to accelerate the deployment of machine learning functions.
CENTRAL PROCESSING UNIT (CPU)
Once a trigger event is detected, a high-performance subsystem such as an ARM Cortex A-Class CPU processor is engaged to examine and classify the event and determine the correct action. With its broad adoption, the ARM A-class processor powers some of the largest edge device categories in the world.
GRAPHIC PROCESSING UNIT (GPU)
In systems where high AI workloads must run in real-time where MCUs and CPUs do not have enough processing power, embedded low power GPUs can used. GPUs are highly parallel cores (100s or 1,000s) for high-speed graphics rendering. They deliver high-performance processing, and typically have a larger footprint and higher power consumption than CPUs.
