September 08, 2025
Smart cities rely on intelligent infrastructure to improve public safety, traffic flow, energy efficiency, and urban services. As connected devices and IoT networks continue to grow, municipalities require Edge AI platforms capable of processing real-time data closer to the source while reducing bandwidth usage and response times. Reliable edge computing plays a critical role in building secure, scalable, and sustainable urban environments.
In smart cities, Edge AI enables license plate recognition (ANPR/LPR), emergency response coordination, and real-time pedestrian and vehicle counting. It also supports environmental sensor fusion, suspicious activity detection, and smart parking optimization.
FORECR delivers NVIDIA Jetson-powered Edge AI computers, embedded systems, and rugged computers for smart city applications. Our solutions support intelligent traffic management, public safety monitoring, smart parking, environmental monitoring, and AI-powered video analytics. Designed for continuous operation in outdoor and industrial environments, FORECR platforms provide the reliability and performance needed for modern smart infrastructure.
By enabling real-time AI at the edge, FORECR helps cities build safer, more connected, and more efficient urban ecosystems that support long-term digital transformation.
INDUSTRY USE CASES
PRODUCTS FOR THE INDUSTRY
Accelerate the future of physical AI and robotics with NVIDIA Jetson AGX Thor™ series modules that deliver up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory. all in a compact form factor. along with extensive connectivity and fast storage.
Accelerated by NVIDIA Jetson T5000 & T4000
Optional support for up to 8x GMSL2 camera connections
Enables real-time thermal monitoring for system protection
2070 TFLOPS (FP4—Sparse)
Features ultra-fast 128GB 256-bit LPDDR5X memory
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The DSBOARD-THRMAX is a compact high performance carrier board designed for the NVIDIA Jetson THOR module. It delivers up to 2070 FP4 TFLOPS of AI compute and supports 128 GB of memory, making it an ideal choice for physical AI and robotics.
Accelerated by NVIDIA Jetson T5000 & T4000
2070 TFLOPS (FP4—Sparse)
WiFi/Bluetooth/LTE/5G Connectivity by extension sockets
Enables real-time thermal monitoring
Easily integrated with its compact form factor
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DSBOARD-AGXMAX can deliver up to 275 TOPS of AI performance this board offers top-of-the-line 10G connectivity as well as Dual Gigabit Ethernet. With its durable construction, it can withstand environmental challenges, ensuring stability.
Powered by high-performance AGX Orin SoM
Exceptional 275 TOPS of AI performance
Offers top-of-the-line 10G connectivity
Dual Gigabit Ethernet, USB 3.2, HDMI, CAN
Unparalleled convenience and flexibility
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DSBOX-AGXMAX offers top-of-the-line 10G connectivity as well as Dual Gigabit Ethernet. USB 3.2. HDMI. CAN. Serial Ports and MIPI CSI-2 Camera support. With NVIDIA Jetson AGX Orin support. it delivers impressive 275 TOPS of AI performance.
Powered by high-performance AGX Orin SoM
It can deliver up to 275 TOPS of AI performance
Offers top-of-the-line 10G connectivity
Dual Gigabit Ethernet. USB 3.2. HDMI. CAN
Wide operating and voltage range
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DSBOARD-ORNXS is a game-changing innovation that redefines the concept of productivity and connectivity. Powered by the Jetson Orin Nano & Orin NX, this compact and versatile device brings unmatched performance to the edge.
NVIDIA Jetson Orin Nano & NX Super Mode Support
AI-ready with up to 157 TOPS performance
Up to 16GB LPDDR5 for seamless performance
Mini DisplayPort supports up to 4K Ultra HD visuals
Gigabit Ethernet & USB 2.0 for data transfer
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With a range of connectivity options and advanced thermal management, the DSBOX-ORNX is designed to operate reliably in a range of harsh industrial environments. Its easy integration capabilities ensure DSBOX-ORNX fits different projects with ease.
NVIDIA Jetson Orin NX Super Mode Support
Up to 157 TOPS advanced AI performance
Reliable operation in harsh environments
Multiple connectivity options
Easy integration into existing industrial systems
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