Leading a field team for AI and IoT system integrations means every technician comes prepared with the right edge devices, gear, and applications for successful rollouts.
When machine learning (ML) work moves out of labs, data centers, and offices and into the field, resilience takes on a whole new meaning. Supplies must be built tough to withstand motion, temperature changes, and low bandwidth in remote areas.
Here are 11 essentials you need in every ML field kit.
1. Rugged GPU Devices
You may have to conduct a rollout at a station, base camp, or even a construction site, which exposes equipment to dust and weather.
Rugged graphic processing units (GPUs) have protective boxes. They’re built with reinforced materials that can withstand the elements, shock, and increased vibration. Fanless enclosures and cooling systems protect GPUs from extreme temperatures.
These features allow for high-performance data processing outside of climate-controlled server rooms.
2. Power Inverters and Backups
Project managers must design a reliable strategy for continuous power.
Every edge ML field tech needs to pack reliable power inverters when wall outlets aren’t available. Power inverters allow you to convert your car’s DC power into AC power to run laptops and specialized equipment.
To ensure optimal performance in the field, you’ll also need power stations, backup generators, and spare batteries.
3. Safety and Recovery Gear
When your work takes you into a challenging terrain for an already challenging install, you need reliable safety and recovery gear.
Pack top-rated 4WD accessories for travellers, like 75-piece first aid kits, wheel steps, and heavy-duty tarps. Equip your vehicle with tow straps and traction boards. Wear high-visibility work clothes with helmet lights.
4. Local Registry Mirrors for Reliability
When decent bandwidth isn’t guaranteed in the field, you must switch from a cloud-based registry to a local registry mirror for storing, managing, and sharing files for deployments. Local mirrors host copies of your necessary files for an uninterrupted workflow.
5. LTE or Satellite Fallbacks
While you can install edge systems while offline, you still need reliable connectivity for remote monitoring and debugging work.
But what happens when an area’s Wi-Fi or wired internet goes down? You need reliable LTE or satellite connectivity to finish the job.
Having a connectivity backup also allows you to reach out for additional support and push emergency patch requests through the network.
6. Sensor Calibration Tools
Data integrity is a must. AI models must be recalibrated when data flow is out of alignment. Remember to pack sensors and multi-meters to verify newly installed hardware so that AI models respond accurately.
7. High-Endurance NVMe Storage
Edge devices that log high-frequency sensor data and run intensive ML inferences are often subjected to constant read/write cycles.
Standard consumer storage drives can’t handle this level of processing, making high-endurance NVMe (Non-Volatile Memory Express) drives a must in the field. NVMe drives are also built to withstand temperature swings.
8. Versatile Mounting Hardware
Depending on the field work site, you may need to attach a gateway to a cement wall or a metal pole. Your hardware mounting kit should also include weather-proof enclosures, specialized brackets, clamps, and fasteners. These precautions preserve the quality of IoT sensor data by protecting against environmental wear and vibrations.
9. Preventive Monitoring
After implementation, pivot to on-device monitoring to identify signs of failing components or memory leaks before they cause an IoT system crash.
Backup connectivity also enables remote support in these situations, preventing another trip to the site. You can also monitor for memory usage and temperature remotely.
10. Offline Runbooks
Offline IT runbooks are essential when remote networks go down. Keep printed copies and offline tablet files in your toolkit. Runbooks contain all steps for troubleshooting, emergency system resets, and safety protocols.
11. Additional Protection
Make sure sensitive AI hardware is properly protected during transportation and installation. Essentials include rugged transit cases, industrial sealants, and cable glands. You want these systems to last for years, not weeks!
Prepare Your Field Kit
You know how to build AI models and IoT systems. Now it’s time to install them, even in the harshest environments. Test your field strategy for resilience, ensuring you have the right connectivity fallbacks, rugged equipment, reliable power, calibration tools, storage solutions, and monitoring in place.
