IP67 waterproof capability is achieved via specialized molded o-rings and enclosed in stainless steel and aluminum chassis for corrosion resistance.

The M12 connectivity features COTS availability and is a cost-effective solution while maintaining robustness.

Available in standard form factors with unique brackets for flexible rack or wall-mount deployment.

NVIDIA® RTX A2000/ Tesla T4/ Quadro P2200 can operate up to 62°C ambient without GPU throttling.

Patented SuperCAP UPS effectively prevents data loss while featuring greater reliability and longevity over traditional battery UPS

Overview:
Mining vehicles play an important role in today’s mining operations in terms of productivity and efficiency. Fast forward to today, the application of edge AI technology allows for autonomous mining vehicles and its effects are threefold: (1) Safety, to remove human error from the equation; (2) Reduce operation cost, whether it is maintenance or labor cost; and (3) Increase efficiency by introducing autonomous machines that can work 24/ 7 that does not fatigue. Also, putting workers out of harm’s way and into a control room where one can still oversee all the tasks he would otherwise perform while operating the truck in person.

Requirements:

• Dustproof, waterproof systems that can withstand high-pressure water wash-downs, and able to operate in mining temperature environments that can reach over 50°C
• Rugged industrial reliability with machine vision, AI inference processing power for autonomous functions
• Communication between onsite and central command room for the data from cameras, LiDAR, sensors, Radar, GPS network, checkpoints, etc. and remote operation

Solution:

• Extreme-rugged systems with dust and IP67 waterproof capability for 24/7 field operation from -25°C to 70°C environments
• Thermal design for NVIDIA RTX A2000, Tesla T4 or Quadro P2200 for maximum GPU performance in high-temperature environments
• Rich I/O connectivity, including 802.3at Gigabit PoE+, VGA, USB, COM ports with robust M12 connectors in shock and vibration conditions
• Optional CAN bus for data signals collecting, processing and communication. 4G/5G/Wifi for communication between trucks and control room

Overview:
Safety and efficiency is vital to rolling stock operations. Whether it is cargo or passengers onboard, the growing numbers reflects a direct increase in risks and costs. This also called for the need to automate trains with matured technologies. A train’s driver assistance system can achieve: (1) Assist the train driver, reduces stress on the driver while supporting and complementing the driver (2) Prevent accidents, especially when entering stations/ platforms, ensuring there are no people/ objects on the train track; (3) Reduce energy consumption, optimize traveling speeds through machine learning to minimize carbon emissions.

Requirements:

• Machine vision and inference capability for object detection models such as railroad objects, traffic signs, switch positions, and pedestrians
• Connect to multiple IP cameras for multiple field-of-view angles
• GPU unit to perform real-time video decoding, plus inference capability for multiple AI models
• Connect to other sensors such as mmWave radar and LiDAR to collaborate with camera input in case of poor weather conditions such as fog, rain, or snow

Solution:

• Support NVIDIA RTX A2000 or Tesla T4 GPU for AI inference applications and video decoding
• Support 802.3at Gigabit Power over Ethernet (PoE+) with secured M12 connectors for multiple IP cameras
• CAN bus to connect mmWave Radars sensors
• 8 to 48V range DC input for train deployments and patented SuperCAP UPS to counteract against unforeseen power interruptions

Overview:
Farming improved greatly with the invention and development of heavy equipment to aid farmers in covering more area and doing more in less time. However increasing productivity for farmers today means they require (1) The need for skilled farmworkers for agricultural knowledge and to operate heavy equipment; (2) Farmworker safety, according to National Agricultural Safety Database, approximately 33% of farmworkers suffer non-fatal injuries every year, one of the most predominant causes of farmworker death or serious injury involves a vehicle (tractor, heavy machine, etc.); (3) Lowering cost and increasing productivity, costs including labor, seeds, soil and machine, which holds the most potential for overall productivity gain.

Requirements:

• Systems that can be deployed in dusty fields, constant shock conditions, and in rain or shine
• Achieve agriculture tractors autonomy and fleet management for one worker to control multiple tractor deployments to the field
• The ability to control and monitor the farming vehicle fleet in real-time
• Predictive maintenance for minimum tractor operation downtime

Solution:

• Extreme-rugged systems with dust and IP67 waterproof capability for 24/7 field operation from -25°C to 70°C outdoor environments
• Connect with cameras, sensors, Lidars, GPS on the tractors to offer a 360° view of the tractor’s surroundings for farmers remote operation
• Collect data from sensors on vehicles to achieve predictive maintenance
• 8 to 48V DC input with built-in ignition power control for vehicles

Overview:
The integration of AI is bringing more autonomy to military applications, particularly in unmanned machines and robots. One of them is unmanned ground vehicles (UGVs) that can function with little to no human intervention in the battlefield or hazardous zone, to (1) Undertake multi-purpose tasks, such as information gathering, load-carrying or terrain reconnaissance; (2) Enhancing performance and efficiency with autonomy functions, and (3) Ensure the safety of soldiers, minimizing the need for deployment into hazardous zones.

Requirements:

• AI processing power for vehicle autonomy functions
• Conquer environmental challenges such as electrical power source, wide operating temperature, shock and vibration, etc.
• Collect data from environmental sensors
• Optimized SWaP provides less weight, less power consumption, and smaller form factor

Solution:

• IP67 rugged GPU fanless computer support NVIDIA RTX A2000, Tesla T4 GPU for AI applications
• Available in half-rack or rackmount form factors with unique brackets for flexible rack or wall-mount deployment
• Commercially available off-the-shelf M12 connectors for robust I/O connections
• Ruggedized mechanism design for -25°C to 70°C fanless operation and MIL-STD-810G certified