Perception ApplianceTM
Intelligent IoT Edge Device
Ultra-Low Power for LoRa / NB-IoT
Fast & Ultra-Low Power Recognition At The Edge
The Perception ApplianceTM achieves fast recognition at ultra-low power using novel neuro-inspired systems: Event-Based Vision, Neuromorphic Processing, and 3rd Generation Deep Neural Networks. The Ultra-Low Power (ULP) operating characteristic enables recognition at the edge and affords long lasting performance on IoT network without need for battery replacement – the ideal Intelligent Edge IoT Device for telecom network operators, surveillance / monitoring for warehouse and office complex, consumer electronics, security systems, and more.
Less Power To Process Only Changing Pixels
The Challenge
Perception is the primary feature of AI solutions for today’s real-world applications such as facial recognition, autonomous driving, industrial robotics, drone navigation, security monitoring, and many others. Although considerable progress has been made during the past decade in the application of AI to these problems, industry has yet to harness the full capabilities of contemporary cognitive science and neural computing. As such, today’s perception systems (e.g. surveillance cameras with facial recognition) require substantial computing hardware and electrical power, and require high speed data connections to the cloud, thereby precluding the possibilities of low cost, intelligent, battery powered remote edge devices.
Perception ApplianceTM Solution
Perception ApplianceTM leverages Event-Based Vision (EBV), Neuromorphic Processing, and 3rd Generation Deep Neural Networks (3rd Gen NN) to enable high performance cognition at ultra-low power. Event-triggered sensors promise to greatly enhance the performance of almost any sensory suite, especially for surveillance and monitoring solutions, mobile robots, and even autonomous vehicles. The EBV reports instantly only pixels that change, via asynchronous bus to downstream processor. The pixel event stream from the EBV becomes the input to the neural network in the neuroprocessor. The neuroprocessor is highly optimized for supporting 3rd Gen NN, which include encoding of both spatial and temporal information. The result is a substantial increase in both accuracy and speed of perception – at far less power.
AIrport Security
Use Cases
Several immediate use cases include: (i) monitoring human activity within office buildings (HVAC optimization, lighting, energy efficiency, etc.), (ii) home security, (iii) commercial building and campus security, recognition of objects, activities, gaits, faces, active shooter detection & localization (iv) warehouse and factory monitoring, (v) robot perception and control, including autonomous vehicles.
Home Security
Monitoring
Security
Autonomous Vehicles
Will your AI see the kid following the bouncing ball soon enough?
Perception Appliance™
< 1 ms tracking & < 3 ms recognition
Perception ApplianceTM object and activity recognition
works even facing direct blinding sunlight
Image Free Rapid Detection
Kelzal’s Image Free SensingTM combined with patent-pending, brain-inspired artificial intelligence for rapid response and collision avoidance systems process more streamlined data than large frame-based images. We use brain intelligence to extract the minimum to process with no need for computationally intensive object recognition algorithms in redundant image frames. Moreover, Kelzal system will not miss any motion in high-speed situations, even the fleeting muzzle flash of an active shooter at close range or in the distance.
Low Power / Low Weight
Kelzal’s main sensors are passive and not active sensors. They do not transmit signals which can drain power rapidly, and are typically much lighter than active sensors for the same coverage. This means less overhead and less added weight resulting in longer battery time.
Works in Diverse Light Conditions
Kelzal’s superior dynamic light performance detects objects in extremely diverse light conditions. Objects can be detected, tracked and recognized even when oriented directly towards the sun or under the dim light of a quarter moon. It works even when bright light and dark shadows occur in the same field of view. This means more reliable and robust performance at all times of the day and even at night.
Autonomous Vehicles and Mobile Robots
Kelzal is committed to detection and intelligent response, creating a level of autonomous situational awareness for the autonomous platform that can avoid collision and resume the mission. Kelzal combines multiple sensors and robust multiprocess detection techniques to eliminate false positives and make sure evasive actions are taken only when they are truly needed.