Event Triggers and Notification
Event Triggers can be programmed based on inferencing jobs or workflows, and then OTA Programmed to a Smarter AI camera deployment or group. When an AI Container / AI model exceeds a classification threshold and/or a sensor exceeds a value, Smarter AI delivers Event Notifications via:
- Camera APIs
- Dashboard
- Mobile Apps / Libraries
- REST APIs
Benefits
AI Model Lifecycle Management
- Containerize and OTA program AI models
- Continuous learning / continuous delivery:
- Collect event notifications and recordings
- Retrain AI models – minimize false positives and negatives
- Containerize and program AI models OTA
- Train, containerize, and OTA program new AI models to support new use cases
Programmable Classification Thresholds
- OTA program classification thresholds
- Collect event notifications and recordings
- Optimize classification thresholds – minimize false positives and negatives
- Program a single AI Container with multiple classification thresholds
Real-time Event Notifications
- Receive event notifications via dashboard, mobile app and/or REST APIs
- Program the distribution of event notifications via Access Control Lists (ACL), Device Groups, and User Groups
- Configure event notifications with recordings, sensor values, and/or snapshots
Orchestration
- Provision and OTA program AI models
- Allocate Edge AI resources between multiple AI models
- Configure AI cameras and gateways in relation to AI models
- Monitor the health of AI models
Standard DeeaSupports standard deep learning frameworks and platforms
- Containerize and OTA program AI models trained with and for standard deep learning frameworks and platforms,
e.g. Caffe, CUDA, CVflow, MXNet, ONNX, OpenVINO, PyTorch, TensorFlow
Sensor Fusion
- Provision and OTA program AI models
- Field of view (FoV) from 0.15 to 360 degrees
- Image resolution from HD to 4K to 8K
- Object distance up to 50 miles
- Sensors including accelerometer, GPS, gyroscope, magnetometer, temperature
Inference Workflow Management
- AI models as programmable objects
- Chain inferencing jobs together with logical operators
- Map AI model outputs to AI model inputs
Inference Scheduling
- Inferencing on demand, continuous inferencing
- Run multiple AI models in parallel:
- using the same imager/sensor inputs
- using logical operators to infer decisions
Greenfield and Brownfield Deployments
- Containerize and OTA program AI models to greenfield (i.e. Smarter AI camera) deployments
- Containerize and OTA program AI models to brownfield (i.e. IP camera) deployments with Smarter AI Gateway
- Map local and distributed imager/sensor outputs to AI model inputs
Solutions
ADAS
DMS
Driver Monitoring System
Industrial Automation
Intrusion Detection
LPR
License Plate Recognition
Mass Fever Screening
Perimeter Security
Sentry Mode
Situational Awareness
Additional Information
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