Press Releases

For this Phase I Small Business Innovative Research effort for the Army, Cybernet will develop a system for the collection, processing, and matching of fingerprints utilizing the on-device camera of an Android mobile platform. The SDK’s development will include online and offline operation, handling for disconnected-intermittent-lossy (DIL) network conditions, and handling of multiple fingerprint image types and attack detection.

Such fingerprint base biometric technology can be used as supplemental means of identification of individual, whether its deployment is for password replacement or identifying a subject. Any biometric deployment must have proven reliability, but ease of use is important to its adoption. While many mobile platforms today have fingerprint identification technology, their use is typically tied to a segmented and secured component of the phone, which make generic use of the reader difficult or impossible. However, portable fingerprint identification technology can aid law enforcement or homeland security in a variety of tasks from perpetrator identification to airport security. Leveraging the camera of a phone allows for a portable, non-invasive user identification that can leverage existing, and well-understood, databased of fingerprint data.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

The U.S. Air Force must perform regular inspection and maintenance on their aircraft to maintain fleet readiness and effectiveness in the face of aging aircraft populations and new high tech platforms with multilayer composite coatings. When a layer fails, proper repair requires the removal of the layers above the failed layer. Once the repair is complete, the coating must be properly rebuilt layer by layer to insure proper adhesion. Frequently, maintainers will remove the coating through a “racetrack” coating removal process that exposes each layer of the coating down to the layer to be repaired. This repair technique has proven to be effective; however, manual application of this process is both time-consuming and prone to manual errors. The Air Force desires an automated or semi-automated coating removal capability to increase the quality and speed of “racetrack” coating removal. For this Phase II Small Business Innovative Research effort, Cybernet will design and build a compact, portable Automated Coating Removal Tool (ACRT) for Air Force maintainers by leveraging our experience with designing and developing robotic systems. During the Phase I, Cybernet demonstrated the ability to robotically remove these coatings, while using force sensing to detect the transition between layers to insure proper repair shape and eliminate damage to the substrate.

The ACRT will increase the speed and quality of racetrack coating removal on military aircraft components leading to faster and higher quality repair of these weapon systems. Additionally, the technology will be applicable to maintenance and repair of commercial aircraft and can be leveraged in other industries, such as the automotive industry.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Medical supply chain issues are exacerbated during pandemics, natural disasters, war, etc., and must be addressed Cybernet will investigate current logistic processes, available logistics data, and required capabilities to drive the development of an artificial intelligence based medical logistics planning system leveraging both expert system and machine learning technologies.

For this Small Business Innovative Research special accelerated effort to mitigate the impact of COVID-19, Cybernet was awarded a Phase II to create an Intelligent Medical Logistics Planning System (IMLPS) to address common inventory challenges faced by the medical community, including untimely outage of medicines and surgical equipment, overstock of supplies, identifying stock shortfalls, monitoring the supplying, and predicting supply chain issues and disruptions. We will directly leverage the web based portal that Cybernet and LMI are currently developing for USINDOPACOM, where we monitor and track logistics assets and issues from a wide variety of different sources, and combine the information into a comprehensive one-page PowerPoint slide of linked information for review and dissemination.

LMI is supporting this effort as a subcontractor to Cybernet. LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet will continue from its Phase I Small Business Innovation Research effort with the Navy that successfully demonstrated that flexible robotic material handling systems are capable of locating, retrieving, and delivering supplies to maintainers working to sustain military platforms and weapon systems. To enable this demonstration, Cybernet configured an autonomous forklift capable of autonomously retrieving palletized items, such as aircraft repair kits or other packaged goods. Cybernet also integrated their Automated Material Handling Technology (AMHT) applique kit into a small stock chaser tug to automate its functionality. Cybernet then demonstrated the vehicles working collaboratively and autonomously to retrieve and deliver supplies requested by a surrogate maintainer to the point of use. Finally, the system demonstrated the ability to autonomously return supplies to the warehouse shelves.

For the Phase II SBIR effort, Cybernet will develop a command and control interface to allow maintainers to easily request either pre-planned or ad-hoc product retrieval and delivery. Cybernet will also integrate the autonomous tug capabilities into an indoor/outdoor material handling platform, and then perform testing and evaluation in an operational environment in multiple scenarios at multiple Navy facilities.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet will leverage their extensive history with robotic system development for munition handling applications to develop an Artillery System Turret Robotic Assist System (ASTRAS) that is capable of supporting turret tasks related to the fire mission to improve the overall rate of fire that can be achieved with current and next generation munitions. Specifically, Cybernet will investigate a process for preparing munitions (such as installing and setting fuzes), moving munitions and charges from the ready rack to the breech, loading the munitions and charges into the breech, and ultimately firing the cannon (or preparing for fire if manual fire process is desired).   Cybernet will demonstrate feasibility and develop a design during this Phase I Small Business Innovative Research effort for the Army.

While the main goal of the ASTRAS is to increase the rate of fire for self-propelled howitzers, it will have additional benefits. First, it will decrease solder injuries (including long-term repetitive strain injuries) by removing the need to rapidly lift and move heavy artillery shells. Second, it will increase soldier survivability by reducing the overall number of soldiers in a vehicle and at risk. Third, it will decrease the number of soldiers per vehicle making it possible to field more units without increasing overall force size.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

For base and entry security, the Army has a system to collect faces and identify them in large photo and video collections.  Cybernet will extend this capability to incorporate vehicles, persons, and weapons recognition into this capability so that they can be correlated and identified as friend of foe (i.e. non-threat and threat). 

Cybernet built for the Army Research Office (and later the Air Force and the Joint IED Organization) a learning-based computer vision system that incorporates (1) hand or manual and machine learning capabilities, (2) truth data collection and processing, (c) location and history retention, and (d) animals and threat recognition learning and automatic tagging.  This system has been applied to generic recognition and tracking of vehicles, person & carried items, generically potential threats, and species of animal for environment reporting and identification counts.

Our system includes tools and Machine Learning (ML) methodology (and existing vehicle, person, and carried item recognition codes) that should readily port to the Army environment for an immediate proof of concept result in this Small Business Innovative Research effort, and can be extended through processing and assessment of larger training sets to continuously improve recognition rates and threat-Identify pairing performance.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Medical supply chain issues are exacerbated during pandemics, natural disasters, war, etc., and must be addressed Cybernet will investigate current logistic processes, available logistics data, and required capabilities to drive the development of an artificial intelligence based medical logistics planning system leveraging both expert system and machine learning technologies.

For this Small Business Innovative Research special accelerated effort to mitigate the impact of COVID-19, Cybernet will create an Intelligent Medical Logistics Planning System (IMLPS) to address common inventory challenges faced by the medical community, including untimely outage of medicines and surgical equipment, overstock of supplies, identifying stock shortfalls, monitoring the supplying, and predicting supply chain issues and disruptions. We will directly leverage the web based portal that Cybernet and LMI are currently developing for USINDOPACOM, where we monitor and track logistics assets and issues from a wide variety of different sources, and combine the information into a comprehensive one-page PowerPoint slide of linked information for review and dissemination.

LMI is supporting this effort as a subcontractor to Cybernet. LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet is leveraging our experience with developing autonomous material handling vehicles to demonstrate how autonomous forklifts and autonomous tugs can be used collaboratively with people to efficiently retrieve and deliver materials required for performing maintenance tasks on Naval depots and installations.

As part of this effort, Cybernet is automating a small tug and a standard counter-balance forklift to enable autonomous retrieval and delivery of items. Naval maintainers will be able to request parts from a remote location and have them autonomously retrieved and delivered without leaving the maintenance location.
“Commercial industry has started to leverage autonomous material handling solutions to increase the productivity of their current workforce and to help off-set a shortage in qualified workers,” explains Glenn J. Beach, Cybernet’s President. “With this effort, we are demonstrating how the same technologies can improve the efficiency of Naval sustainment and modernization tasks.”

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Under the National Advanced Mobility Consortium, Cybernet is leveraging artificial intelligence to develop both an untagged gesture recognition interface and a voice recognition system to support human computer interaction for Army soldiers.

“Whether the soldier is outdoors or in a combat vehicle, the environment for using hand gestures and voice commands is a complex, cluttered, and noisy environment. Techniques for human-computer interaction that work fine in the laboratory or even a home environment will not work in the battlefield,” explains Charles J. Cohen, Cybenret’s Chief Technology Officer. “Our goal to leverage advanced machine vision and artificial intelligence techniques to allow for accurate and robust human-computer interaction in operational environments.”

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet is manufacturing new Automated Tactical Ammunition Classification Systems (ATACS) and Spent Brass Sorters (SBS) for use at Army installations for inspecting and separating field return ammunition and spent brass. These units allow soldiers and base personnel to focus on higher value tasks while the units inspect the ammunition and cases.

Cybernet is also providing maintenance and support for existing ATACS and SBS units that are currently fielded at Army installations within the U.S.