As deep learning replaces traditional DSP, AkidaTM enables smarter, lower-power audio processing for real-time voice control, sound classification, and speech enhancement at the edge.
Audio-based Edge AI Use Cases
Edge AI in audio processing is highly valuable for speech recognition, sound classification, and anomaly detection in various environments.
Wearables & Consumer Devices
Always-On Voice Activation That Works Anywhere, All Day
- Examples: Smart earbuds, wearables, hearing aids
Akida enables ultra-low-power standby listening that activates only when a specific wake word is heard. Voice control stays responsive without draining the battery, sending data to the cloud, or requiring a subscription. There is no background recording, streaming, or tradeoff between convenience and privacy.
Clearer Conversations All Day on a Single Charge
- Examples: Adaptive hearing aids, noise-filtering earbuds
Akida improves speech clarity and reduces background noise in real time, even in low-connectivity environments like subways, planes, or remote areas.
Automotive & Smart Mobility
Hands-Free Voice Control That Works Even with the Engine Off
- Examples: Navigation, media, and climate voice commands
Akida enables fast, hands-free voice interaction that works even without internet access.
Monitor Vehicle Health in the Background Without Draining the Battery
- Examples: Engine knocks, abnormal vibrations, brake wear
Akida identifies subtle sound patterns that signal mechanical issues before they become critical.
AkidaTM brings intelligence to vision-based systems by enabling real-time video and image processing directly on-device. From gesture control to driver monitoring and smart surveillance, Akida delivers responsive, low-power vision capabilities without relying on the cloud.
Vision-based Edge AI Use Cases
Edge AI in vision processing allows real-time video and image analysis without cloud dependency, enabling applications in security, retail, healthcare, and automation.
Wearables & Consumer Electronics
Smart Glasses Without the Bulk or Heat
- Examples: Smart glasses with real-time eye tracking
Smart glasses can now track eye movement in real time without relying on the cloud or draining the battery. Akida runs locally using just Milliwatts of power, enabling all-day responsiveness in compact, heat-efficient designs.
Always-on Hands-Free Navigation Without Interruptions
- Examples: AR/VR headsets, smartphones, laptops
Akida makes touch-free interfaces possible in battery-constrained devices like AR glasses and smartphones. Its models recognize gestures and faces in real time, process everything locally, and preserve battery life while keeping biometric data private.
Face Recognition That Responds Instantly Without Draining the Battery
- Examples: Smartphones, laptops, smart home panels, vehicle access
Akida enables face recognition to run continuously in standby without impacting battery life. The model stays quietly active until a face is detected, then responds immediately with no wake-up delay. Everything runs locally, keeping access fast, private, and energy efficient.
Automotive & Smart Mobility
Prevent Drowsy Driving with Instant, On-Device Eye Tracking
- Examples: In-cabin driver monitoring systems in vehicles
Akida enables real-time detection of eye closure, head position, and driver fatigue with minimal latency. Because everything runs locally, the system reacts immediately without waiting on cloud processing. This makes in-cabin safety systems more reliable in critical moments, especially when connectivity is limited or delayed.
Safer Streets Through Low-Power Pedestrian and Cyclist Detection
- Examples: Smart intersections, roadside safety systems, pedestrian crosswalks
Akida enables low-power, always-on detection of pedestrians, cyclists, and scooter riders, even in low light or adverse weather conditions. It runs entirely on-device with event-based cameras and AI models, making it ideal for smart intersections and roadside safety systems that need to scale without relying on cloud infrastructure.
Faster Driving Decisions with Onboard Video Analysis
- Examples: Lane detection, pedestrian recognition, object tracking
Akida processes video on-device to support advanced driver assistance systems. This reduces decision latency in critical moments, helping vehicles react quickly to their surroundings without waiting for cloud-based inference.
Drone Applications
Smarter Surveillance Without Streaming Everything
- Examples: AI cameras for safety, security, and compliance
Akida processes video data locally to detect unsafe behavior, unauthorized access, or environmental changes. Only relevant alerts are sent out, improving privacy and reducing bandwidth while maintaining safety.
AkidaTM processes data from sensors like accelerometers, gyroscopes, microphones, radar, and environmental monitors directly on-device. It delivers real-time insight with low power draw, no cloud dependency, and instant responsiveness for health, mobility, infrastructure, and environmental monitoring.
Sensing-based Edge AI Use Cases
Edge AI in sensing involves processing data from accelerometers, gyroscopes, temperature sensors, LiDAR, and radar.
Wearables & Health Monitoring
Continuous Health Tracking That Fits Into the Smallest Wearables
- Examples: Smartwatches, fitness trackers, health glasses
Akida enables real-time monitoring of heart rate, SpO₂, ECG, and temperature without streaming sensitive data. Devices can send instant alerts for irregularities while preserving user privacy and battery life.
Automotive & Smart Mobility
Detect In-Cabin Occupants Without Connectivity
- Examples: Child presence detection in parked vehicles
Akida supports sensor-based occupant detection systems that operate independently of internet access. The system identifies passengers, triggers safety protocols, and prevents heatstroke events in real time.
Industrial & Smart Infrastructure
Perceive Through Fog with AI-Based Radar
- Examples: Autonomous vehicles, low-visibility environments
Akida enhances radar-based object detection in poor visibility conditions where LiDAR and cameras struggle. It provides accurate, real-time perception using efficient local inference.
Detect Structural Failures Before They Happen
- Examples: Bridges, pipelines, turbines
Akida continuously analyzes vibration data to identify early signs of wear or failure. Systems can monitor remotely with minimal power consumption and generate alerts without cloud processing.
Industrial & Environmental Sensing
Monitor Air Quality Without Streaming Data
- Examples: Smart HVAC, environmental monitoring stations
Akida processes sensor data for pollutants, VOCs, and CO₂ locally. It enables real-time environmental response while protecting user data and reducing communication costs.
