AI analysis software improves facial classification accuracy

Neuromorphic computing company, BrainChip, has released BrainChip Studio 2018.3, an update for its artificial intelligence (AI) -powered video analysis software. The update improves the software’s face classification accuracy by 10 to 30 per cent, confirms the company.

BrainChip Studio is primarily used by law enforcement, intelligence, and counter-terrorism agencies that use existing CCTV infrastructure.

Building on BrainChip Studio’s use of spiking neural networks to enable facial classification on partial faces, which is useful where the probe image or the extracted faces may be obscured by hats, masks, scarves or camera angle, BrainChip Studio 2018.3 uses a full-face mode to perform facial classifications. In situations where the entire face is visible in the probe image or in the extracted faces, this full-face mode provides a significant increase in facial classification accuracy without impacting throughput.

BrainChip Studio’s facial classification technology works in environments where traditional biometric-based face recognition systems fail, for example, low-light, low-resolution, and visually-noisy environments.

BrainChip Studio 2018.3 is currently available.

BrainChip provides neuromorphic computing solutions, AI that is inspired by the biology of the human neuron. The company’s spiking neural network technology can learn autonomously, evolve and associate information just like the human brain. The proprietary technology is fast, completely digital and consumes very low power. The company provides software and hardware that address the high-performance requirements in civil surveillance, gaming, financial technology, cybersecurity, ADAS, autonomous vehicles, and other advanced vision systems.

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