Defense Industry Technologies
As Eltassan, we integrate AI-based electro-optic systems, electro-optic sensor fusion, and tactical edge computing (Edge AI) capabilities into defense industry infrastructures at MIL-SPEC military standards. We build reliable and proactive surveillance systems that leave no blind spots with fully autonomous detection, smart environmental scanning, and ultra-low latency data networks.
Featured System Specifications
Edge Computing (Edge AI) Capability
Eliminates reliance on central servers by autonomously performing object detection, classification, and analysis processes.
Ultra-Low Latency with 5G
Reduces latency to under 1ms, optimizing immediate notification of threats to weapon systems and trigger speed.
Continuous Environmental Scanning
While locking onto and verifying a target, it continues 360° scanning with matrix sensors, leaving no blind spots.
Secure Weapon Integration
Shares coordinate and alarm data processed on the edge device with command centers using encrypted military protocols.
Featured Defense Technologies
AI-Based Smart Thermal Camera
Unlike traditional remote server architectures, it runs object detection (YOLO/SSD) algorithms directly in the field with our in-hardware embedded FPGA/GPU architectures (Edge AI). It perfects network traffic and reaction times by sending alarm and coordinate data only in the event of a threat, in under 1ms (URLLC).
Thermal and Electro-Optic (EO/IR) Sensor Fusion
Overlays heat data from thermal pixels operating in LWIR/MWIR spectra with high-resolution RGB optical data in real-time using artificial intelligence algorithms. Distinguishes threats with high accuracy under conditions of fog, haze, or camouflage.
Quad Image Sensor and Intelligent Task Sharing
A matrix sensor architecture that combines Wide Area Motion Imagery (WAMI) and Narrow Area Focus (PTZ/Tracking) functions in a single body. While scanning 360° with 3 sensors, the 4th optical zoom sensor automatically locks onto the target in the event of suspicious movement.
VIONTEK-S4 PRO
FPGA-ARM Based Edge AI AcceleratorOffering continuous surveillance and autonomous security with artificial intelligence, VIONTEK-S4 PRO possesses a powerful SoC (System on Chip) architecture similar to AMD/Xilinx Zynq UltraScale+. It is a high-performance edge computing and deep learning acceleration device designed for heavy AI workloads.
Technical Specifications
Processor and Computing Unit (SoC)
- Main Processor: Quad-core ARM® Cortex®-A53
- Real-Time Processor: Dual-core ARM® Cortex™-R5
- Graphics Processor (GPU): ARM Mali-400 MP2
- Programmable Logic (FPGA): 192K Logic Cells
Imaging System
- Sensor Structure: 2x 5Mp Sensors (Stereo Vision)
- Reading Modes: Vertical / Horizontal / Normal / Reverse
- Lens Maintenance: Electronic Ultrasonic Lens Cleaning System
Memory and Storage
- System Memory (RAM): 16Gbit (2GB) DDR4 Parallel | 1.6 GHz
- Internal Storage (eMMC): 32GB Flash
- Boot Memory (NOR): 256Mbit SPI Flash | 133 MHz
- External Storage: Micro SD card slot
Connectivity and Communication
- Wireless Network: Wi-Fi 6 (IEEE 802.11 ax)
- Cellular Connectivity: GSM/GPRS/4G LTE Modem
- Wired Network: 10/100/1000 Mbps Gigabit Ethernet (PoE supported)
- Industrial Ports: RS-485, RS-232, USB Type-C
Sensors and Peripherals
- Inertial Sensor (IMU): 6-Axis sensor
- Environmental Sensors: Temperature sensor (Addable meteorological sensor)
- Update: Remote software/firmware update support (OTA)
Electrical Specifications
- Input Voltage: 8Vdc - 18Vdc (Wide range)
- Power Management: Power supply via PoE (Power over Ethernet)
Advanced Application Areas
Camouflage and Decoy Detection
Camouflage & Decoy Detection
Sub-surface Tunnel, Bunker, and Hidden Structure Detection
Sub-surface Anomaly Detection
Invisible Fog, Haze, and Gas Cloud Penetration
SWIR Imaging
Battlefield Damage and Casualty Detection
Battlefield Triage & Damage Assessment
Micro UAV (Drone) and Drone Swarm Early Detection
Anti-Drone Surveillance
ARTIFICIAL INTELLIGENCE (AI) DETECTION SYSTEMS
