AI-powered diagnostic tool validates returned security cameras in under two minutes with 99% accuracy, helping channel partners cut expenses by 90%
Consider a 100-camera troubleshooting assignment that typically demands 100 labor hours—completed in just 3.3 hours or less. That is the breakthrough of AI-driven diagnostics.”— Richard KuMILPITAS, CA, UNITED STATES, August 18, 2026 /EINPresswire.com/ — Trustify Technology, an AI hardware and software firm focused on device lifecycle automation, has announced the release of DeviceDiag AI Platform™, an AI-powered diagnostic station built to automate testing and validation of returned security cameras for enterprise integrators, distributors, and reverse logistics teams throughout North America.
Engineered specifically for the expanding B2B security and surveillance sector, DeviceDiag AI Platform™ enables organizations to sharply cut the time, labor, and operational expenses tied to conventional return merchandise authorization (RMA) processes.
The North American B2B security and surveillance market is valued at roughly $26.84 billion in 2025 and continues to grow rapidly. Still, despite progress in camera hardware and cloud-based management, the industry’s diagnostic and return workflows remain heavily manual, time-consuming, and expensive.
According to industry estimates, the average total cost for a single security camera RMA incident can surpass $800 when factoring in onsite labor, administrative handling, device replacement, logistics, and system downtime. In numerous instances, organizations also face expenses from multiple technician dispatches, delayed issue resolution, and temporary security gaps.
Adding to the problem, a substantial portion of returned security cameras are labeled “No Fault Found” (NFF), meaning the device shows no confirmed hardware defect after inspection. These avoidable returns result in wasted labor, extra refurbishment costs, unnecessary inventory replacement, and greater operational inefficiency across the supply chain.
“For far too long, the security industry has depended on manual troubleshooting workflows that bring about needless delays, labor expenses, and downtime,” said Andrew Nguyen, Owner and CEO of Trustify Technology. “A single camera issue should not require weeks of back-and-forth diagnostics or multiple technician visits. DeviceDiag AI Platform™ was created to transform that entire process through automation and AI-driven validation.”
DeviceDiag AI Platform™ merges specialized hardware with AI-powered software automation to carry out thorough camera diagnostics in a single station without needing a technician on site. Using a dedicated Neural Processing Unit (NPU), the system automatically evaluates device health, confirms hardware functionality, and produces a verified pass/fail result in under 120 seconds.
The platform runs a full set of automated tests covering:
Video quality and image integrity
Audio performance
Infrared and night vision functionality
Motion and environmental sensor validation
Network connectivity and communication testing
Firmware recognition and device identification
The system supports Wi-Fi, Ethernet, and 4G/5G cellular-communicant environments commonly deployed in enterprise surveillance setups.
Unlike conventional manual diagnostics that often require technician interpretation and multiple troubleshooting steps, DeviceDiag AI Platform™ automatically identifies camera model and firmware configuration with minimal user input. Diagnostic results can be exported as PDF, JSON, or CSV reports for integration into existing warehouse management systems (WMS), enterprise resource planning (ERP) platforms, and operational workflows.
“With DeviceDiag AI Platform™, we are providing enterprise partners with a faster and more intelligent method to validate surveillance hardware,” Nguyen added. “By harnessing dedicated NPU acceleration and automated testing workflows, organizations can assess video, sensor, and network health with speed and consistency that traditional manual processes simply cannot achieve.”
For organizations overseeing large fleets of surveillance devices, the operational impact can be significant. DeviceDiag AI Platform™ is designed to help cut down on unnecessary device replacements, reduce onsite diagnostic visits, speed up return processing, and shorten the time needed to restore security coverage.
The platform directly tackles one of the industry’s most persistent inefficiencies: extended turnaround times. Traditional RMA resolution cycles frequently take between one and three weeks, depending on shipping, technician scheduling, and manufacturer review timelines. DeviceDiag AI Platform™ compresses that validation process into minutes, enabling enterprise teams to make faster operational decisions and return functional equipment to service more efficiently.
Richard Ku, VP of Sales and Marketing at Trustify Technology, characterized the launch as a fundamental change in the economics of enterprise device troubleshooting.
“The ‘Efficiency Delta’ has arrived. Today, Trustify Technology launches DeviceDiag AI Platform™, and the figures speak for themselves,” said Ku. “Consider a 100-camera troubleshooting assignment that typically demands 100 labor hours—completed in just 3.3 hours or less. That is the breakthrough of AI-driven diagnostics.”
DeviceDiag AI Platform™ is now available in the United States and Canada, with deployment timelines typically ranging from two to four weeks. Trustify Technology offers solutions for both SMB and enterprise-scale organizations operating across multiple facilities and regions, and provides custom development services, onboarding support, and new camera model integration through its New Product Introduction (NPI) process.
“Our objective is to remove unnecessary friction throughout the entire device lifecycle,” Nguyen said. “Diagnostic automation is becoming a foundational requirement for enterprise surveillance operations—and we intend to lead that shift.”
DeviceDiag AI Platform™
Trustify Technology
+1 626-437-4874
richard.ku@trustifytechnology.com
