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Internet of Things (Edge IoT)
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Smart Devices and Digital Twins
•
Location-based smart devices
•
GPS
•
Cell-site triangulation
•
Bluetooth signal strength and iBeacon
•
WiFi triangulation (based on signal strength)
•
MMWave and other radar-based sensors
•
Artificial Intelligence (AI+IoT)
•
Computer Vision
•
Object Recognition, Classification, Tracking
•
Human Pose Estimation
•
Gesture Control/Tracking
•
Intent recognition
•
Audio Recognition and Classification
•
Voice-commands
•
Sound classification
•
Intent recognition
•
Machine Learning (ML) on the edge
•
Localized capture and training of dataset.
•
Localized AI processing (offline mode)
•
Electronic Circuit Boards and Peripherals
• Off-the-shelf usage of MCU boards for fast prototyping (ARM, RISC-V, GPUs)
• In-house Circuit Design of PCBs, assembly and testing (prototype stage)
• Integration of digital and analog sensors
•
M2M and Remote Access
•
MCU boards with built-in LTE, 5G and NBIoT modules to connect to the cloud.
•
MCU boards with HTTPS Server Capability to host its own localized WiFi application.
• MCU boards with Bluetooth module for short-distance communications
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MCU boards with Lora modules for TelCo-independent long range communications.
•
Systems Integration (Data transmission from MCU to other
digital devices)
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MQTT
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HTTP/S, WebService, SOAP, REST
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Reverse Engineering
• Bit-banging using MCU boards to "hijack" data from existing digital devices.
• PCB analysis to identify integration points for physical board-to-board integration.
“It definitely helped transform my business and take a significant load off for me.”
Samori Coles
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