Edge AI use cases

Explore use cases for your edge AI application in perception, monitoring and control or audio

INDUSTRIAL  |  ENERGY INFRACSTRUCTURE | PREDICTIVE MAINTENANCE

Our solution provides a cost-effective and reliable way to detect and interrupt faults, meeting the stringent safety standards of UL1699 and IEC62606.


INDUSTRIAL | BUILDING AUTOMATION | ENERGY INFRACSTRUCTURE

Cost-effective arc protection meeting global safety standards (UL1699B and IEC63027).


INDUSTRIAL | BUILDING AUTOMATION

Single PIR sensor based solution for differentiating between multiple sources of motion leverarging a MCU-scalable Edge AI solution.


INDUSTRIAL DRIVE |  APPLIANCES | MOTOR CONTROL

Protect AC motor drive designs with high-accuracy AI based motor fault classification.


INDUSTRIAL DRIVE | FACTORY AUTOMATION | MOTOR CONTROL

Protect AC motor drive designs with high-accuracy AI based motor fault classification.

AUTOMOTIVE | PREVENTIVE MAINTENANCE

Deploy cost-effective edge AI solution on existing OBC control MCU to detect grid voltage anomalies.

AUTOMOTIVE | PREVENTIVE MAINTENANCE

Operate power converter MOSFETs within rated junction temperature for safety and long-term reliablity using edge AI models.

INDUSTRIAL | WEARABLES

Edge AI digit recognition in a compact, low-power device footprint on cost and power optimized models for MCU solutions.

INDUSTRIAL | MEDICAL

Edge AI digit recognition in a compact, low-power device footprint on cost and power optimized models for MCU solutions.

INDUSTRIAL | ARC FAULT

Ensure gearbox reliability with accurate falult detection using AI-accelerated chip.

INDUSTRIAL  |  BUILDING AUTOMATION | VISION

Find and localize specific objects, people in real-time at high framerate with AI-accelerated processors and industry-standard software.


INDUSTRIAL  |  ROBOTICS

Our radar solutions supports Edge AI applications from a single sensor that accurately differentiates several surfaces in real world applications.


INDUSTRIAL  |  HOME AUTOMATION

Sensory's TrulyHandsfree-Micro on-device processing eliminates cloud dependency, saving energy, enhancing privacy & reducing server costs.