W100X which is designed to more intelligently acquire and adapt data for the company’s AiPOD perception system. This advancement in AiNanoLab technology further strengthens its biomimicry approach to visual perception, essentially enabling optical devices to see and perceive more like humans to better evaluate potential hazards and alert to dangerous situations.
In simple terms W100X combine pixels from digital 2D cameras with voxels from AiNanoLab’s 3D AiPOD sensor into a single super-resolution sensor data type. For the first time, a real-time integration of all the data captured in pixels and voxels is combined into a data type that can be dynamically controlled and optimized by artificial perception systems at the point of data acquisition. W100X create content that inherits both the ability to evaluate a scene using the entire existing library of 2D computer vision algorithms as well as capture 3D and 4D data concerning not only location and intensity but also deeper insights such as the velocity of objects.
There is an ongoing argument about whether camera-based vision systems or AiPOD-based sensor systems are better. Our answer is that both are required – they complement each other and provide a more complete sensor array for artificial perception systems. We know from experience that when you fuse a camera and AiPOD mechanically at the sensor, the integration delivers data faster, more efficiently and more accurately than trying to register and align pixels and voxels in post-processing. The difference is significantly better performance.”
AiNanoLab’s AiPOD perception system mimics how a human’s visual cortex evaluates a scene and calculates potential hazards. Using embedded artificial intelligence within a distributed architecture, AiPOD employs W100X to critically and actively assess general surroundings to maintain situational awareness, while simultaneously tracking targets and objects of interest. As a core data element for a scalable, integrated system, W100X enable AiPOD to act reflexively to deliver more accurate, longer range and more intelligent information faster.
W100X can also be encrypted. This patent-pending technology enables each sensor pulse to deal appropriately with challenging issues such as interference, spoofing, and jamming. Issues that will become increasingly important as millions of units are deployed worldwide.
Simply put, this new way of collecting and inspecting data using at the edge-processing of the AiPOD system enables the device to more intelligently assess and respond to situational changes within a frame, thereby increasing the safety and efficiency of the overall system.
For example, AiPOD can identify objects with minimal structure, and differentiate objects of the same color such as a black tire on asphalt. In addition, W100X can leverage the unique capabilities of agile AiPOD to detect changing weather and automatically increase power during fog, rain, or snow.
The AiPOD perception system includes inventions covered by foundational IP, including 4 intellectual property claims on the definition, data structure and evaluation methods of W100X. These patented-pending inventions contribute to significant performance benefits, including a 16x greater coverage, 10x faster frame rate, and 7-10x more relevant information that boosts object classification accuracy while using 8-10x less power.
AiNanoLab’s first AiPOD-based artificial perception system, will be available 2019.
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