The SED Mobile Application & SDK brings the full power of the SED Target neural classification engine directly into smartphones and tablet devices. By running deep learning acoustic inference locally on the mobile phone's processor (NPU / GPU), all audio events are analyzed in real time with zero network latency, full offline capability, and GDPR privacy compliance by design.
SED Control Mobile App
Turnkey iOS and Android application with real-time acoustic signal spectrum visualization, instant push alerts, tactical incident mapping, and team geolocation sync for field security officers.
Plug-and-Play Mobile SDK
Lightweight C/C++, Swift, and Kotlin plugin libraries ready to be embedded directly into 3rd-party commercial apps (mobility, fleet dispatch, smart home, tactical defense, eldercare).
Infinite Use Cases: Transforming Every Smartphone into a Sensor
Ride-Sharing & In-Cabin Safety
Mobility platforms like Uber, Bolt, or taxi fleets can embed the SED plugin into driver/passenger apps to detect aggression, screaming, break-ins, or vehicle collisions and automatically dispatch assistance.
Police & First Responder Safety
Officers carrying smartphones or tactical wearables receive immediate gunshot and aggression alerts with precise team coordinates, ensuring faster mutual backup in dangerous environments.
VIP & Executive Protection
Close protection teams and private security agencies guarding high-value individuals gain synchronized, real-time tactical alarms whenever an anomaly or threat occurs near their escort perimeter.
Elderly Care & Fall Distress
Monitors senior living residences and home care for severe impact thuds, groaning, or calls for help without intrusive cameras, preserving 100% patient dignity.
Smart Infant & Child Monitoring
Processes infant crying patterns and acute respiratory distress locally on parents' old or current phones, ignoring background TV, traffic, or pet noise.
Lone Worker & Field Protection
Protects field engineers, refinery inspectors, and night shift staff with automated danger escalation if machinery explosions, grinding, or distress screams are detected.
Key Mobile Features & Technical Capabilities
- ✓Zero Cloud Latency: Inference executes 100% on the mobile device's Neural Engine / DSP without requiring continuous cellular connectivity.
- ✓Ultra-Low Battery Footprint: Optimized energy-based pre-filtering ensures all-day background monitoring with minimal battery drain.
- ✓Instant Multi-Protocol Forwarding: Dispatches encrypted alarms over WebSockets, REST API, MQTT, or Push Notifications to central monitoring rooms (ARC / CAD / VMS).
- ✓Privacy by Design & DSGVO: Never records voice or conversations; classifies only raw mathematical pitch and energy frequencies.
Partner With Us on Mobile AI Integration
Looking to integrate acoustic threat detection into your iOS/Android app, fleet dispatch system, or private security operations? Contact our mobile engineering team for SDK documentation, early beta access, and licensing terms.
support [at] jalud-embedded.com" style="display: inline-flex; align-items: center; gap: 6px; font-weight: 800; color: #1d4ed8; text-decoration: underline;">Contact our Mobile SDK Team at support [at] jalud-embedded.com →