Visual Identification AI at The Edge: Facial Recognition
AI facial recognition in the workplace allows us to protect assets, improve productivity, and seamlessly add a layer of security in remote or unsupervised areas. ADI is enabling AI at the intelligent edge through facial recognition that validates authorized personnel, powered using only a small battery.
ADI's innovative AI microcontroller, the MAX78002, is an elegant system-on-chip design that enables machine learning using extremely low power that is ideal for edge IoT device applications. A deep learning microcontroller allows local decision making eliminating the need for expensive cloud computing resources and enhances security by requiring less data transmission and network exposure.
The ADI MAX78002 boasts an ARM Cortex M4, low-power 128 Model CNN Accelerator, and 2.5MB of flash memory within a single compact IC. This system is best suited for a multitude of low-power applications where energy consumption is limiting factor for image and audio inputs. The MAX78002 can help bring sight, sound, and sense to edge devices and allow AI decision making in the categories of classification, object detection, semantic segmentation, regression, and anomaly detection.
Visual Identification AI at The Edge: Facial Recognition
AI facial recognition in the workplace allows us to protect assets, improve productivity, and seamlessly add a layer of security in remote or unsupervised areas. ADI is enabling AI at the intelligent edge through facial recognition that validates authorized personnel, powered using only a small battery.
ADI's innovative AI microcontroller, the MAX78002, is an elegant system-on-chip design that enables machine learning using extremely low power that is ideal for edge IoT device applications. A deep learning microcontroller allows local decision making eliminating the need for expensive cloud computing resources and enhances security by requiring less data transmission and network exposure.
The ADI MAX78002 boasts an ARM Cortex M4, low-power 128 Model CNN Accelerator, and 2.5MB of flash memory within a single compact IC. This system is best suited for a multitude of low-power applications where energy consumption is limiting factor for image and audio inputs. The MAX78002 can help bring sight, sound, and sense to edge devices and allow AI decision making in the categories of classification, object detection, semantic segmentation, regression, and anomaly detection.
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