Mallenom Systems:intelligent systems and technologies

mallenom.com

Development, implementation and replication of intelligent control systemsbased on machine vision and artificial intelligence (i.e. machine learning, deeplearning neural networks).

The company has extensive experience in successful implementation of complexhigh-end IT projects in the areas of transport, machine building, oil and gas,metallurgy, food, pharmaceutical, diamond mining, and other sectors.

The systems developed by the company are based on the proprietary solutionsthat utilise the neural networks and deterministic algorithms for the imageanalysis, as well as on the algorithms developed by Cognex – the world leadingcompany in the area of machine vision.

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Mallenom Systems

In 2019, Mallenom Systems entered the national rating ofRussian fast-growing technology companies TechUp (ratingis organised annually by the Russian Venture Company).

50+ partners

80+ regular customers

2000+ implemented systems

Mallenom Systems: the team

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Founder

Professor Leonid Malygin

80 employees

Strong R&D

including:1 Professor,5 PhDs

Mallenom Systems: Cognex PSI

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Mallenom Systems is the sole official partner-integrator of Cognex – the worldleading manufacturer of industrial machine vision systems – in Russia and the CIScountries.

Cognex PSI status accredits us as trained, certified and experienced experts under theCognex brand. Cognex trusts our company and confidently recommends us to thecustomers who require system integration solutions.

Our company has earned this status for the ability to designand develop high-quality machine vision based applicationsacross wide range of industries.

As a partner system integrator, we also supply a full range ofCognex products, and help our clients find the best equipmentfor each specific task.

Ares of expertise

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Video control and inventory of the

automotive transport

Identification and inventory of railcars and rail

tank cars

Machine vision-based industrial

control

Detection and tracking of people in the video image

ARDISVideo control and inventory of railcars and rail tank cars

ARDIS – the line of solutions for identification and control of therailway transport that is based on the railcar number recognitiontechnology.

ARDIS automatically performs the recognition of identificationnumbers located on the frame and sides of the railcars. Additionally,ARDIS generates a report for each railcar that contains photo, video,identification inventory number, moving speed, date and time,number of axles, railcar type, etc. Furthermore, ARDIS can receiveand aggregate information from the rail scales and other systems,archive data for the passing train, and send information to theexternal information systems.

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TASKS IN FOCUS

elimination of human errors full control of the railcar travel complete transparency during cargo dispatch via the use of rail scales minimisation of operational costs improvement in efficiency of the railcar documents issuing

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SYSTEM FUNCTIONALITY

identification and inventory of the railcars control of the railcars location and travel management of the cargo dispatch automatic damage control 3D scanning of the open-top railcars for the measurement of cargo

volume and detection of foreign objects

ARDISVideo control and inventory of railcars and rail tank cars

IMPLEMENTATION AND SYSTEM MAINTENANCE

integration with installed information systems and equipment system installation, adjustment on site and commissioning system use training technical support for warranty and post-warranty period further custom system development to meet the demands of the clients

BROCHURE WEB PAGE

AUTOMARSHAL – the software for the automatic recognition of the vehicle number plates.

AutomarshalVideo control and inventory of the automotive transport

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Automarshal is utilised to control the vehicle access and to register the vehicle presence at such facilities as:

parking lots housing complexes, residential areas, hotels industrial facility checkpoints logistics and warehouse complexes vehicle weighing stations carwashes, petrol and service stations oil products loading and unloading stations construction sites, quarries, oil fields highways, and other

BROCHURE WEB PAGE

TASKS IN FOCUS

vehicle access control on the premises of industrial, commercial and residential facilities vehicle inventory, control of cargo loading/unloading, theft prevention highway vehicle control, detection of suspicious and wanted vehicles automation of the manual operations performed by the security personnel which reduces the time required

to decide on the vehicle access remote control of the facility operation and access control using various devices centralised control of the multiple entry and exit points through the use of single control station

THE SYSTEM FUNCTIONALITY ALLOWS TO

create vehicle access lists by the user monitor statistics and generate reports control external devices import external databases calculate the duration of the vehicle stay on the premises couple the front and rear number plates (e.g. tractor unit with trailer) operate alongside with RFID tags and access cards interact with access control, video surveillance and integrated security systems remotely access the system via a web-browser from a PC or mobile devise by using Automarshal Web-client

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AutomarshalVideo control and inventory of the automotive transport

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VIRIS smart camera is the all-in-one adaptive solution with Automarshal ANPRsoftware onboard. VIRIS is equipped with infrared lighting, digital camera and build-incomputer.

VIRIS smart camera captures and processes collected visual information. It eliminatesthe need for the dedicated PC and communication system for visual data transitionand processing.

Areas of application:

Vehicle traffic control Vehicle access control Vehicle search Stop line crossing Insurance violation Customs, etc.

WEB PAGE

VIRIS smart cameraVideo control and inventory of the automotive transport

Automarshal.WeighbridgeAutomation and control of vehicle weighing

Automarshal.Weighbridge – a weighing automation system, designed to improve the operational efficiency and reliability of thevehicle weighing stations.

General operational principle: when a vehicle enters the weighing station, the system checks the vehicle positioning on scales. Incase the vehicle is correctly positioned, the system records the vehicle net weight, makes a record of the number plate and storesthe data in the local MS SQL Server database. In case vehicle position on scales is incorrect, the system notifies the operator.

TASKS IN FOCUS

minimisation of the human error and its influence on the vehicle weighing process improvement of the cargo dispatch efficiency, overload prevention photo and video evidence of weighing for every vehicle automatic generation of dispatch documentation

SYSTEM FUNCTIONALITY

collecting and storing the vehicle data: photo, video, number plate, time and date, weight (net, gross, container), and other.

automatic identification of “empty”/“full” indicator (based on the reference records) automatic net weight measurement control of the vehicle positioning on the scales during weighing automatic smart control of the lights at the vehicle weighing station forming the cargo dispatch documentation and reports

Automarshal.WeighbridgeAutomation and control of vehicle weighing

BROCHURE WEB PAGE

AVEDEXTraffic monitoring

TASKS IN FOCUS

assessment of traffic intensity at a specified section of the road estimation of the optimal transport routes advertising campaign efficiency analysis traffic flow modelling forecasting for the possibility of traffic congestion

SYSTEM FUNCTIONALITY

identification and counting of the vehicles either using live video data stream or pre-recorded video file

classification of vehicles into different categories: passenger cars, trucks, public transport, emergency vehicles, and other

visualisation and export of traffic summary statistics

BROSHURE WEB PAGE

AVEDEX – the software for the analysis of the vehicle traffic that counts and categorises vehicles. AVEDEX implements the latest AI technologies.

Road BailiffSearch for the vehicle owners with any outstanding debt payments

Road Bailiff – a hardware-software complex that uses ANPRtechnology to automatically identify in the traffic flow the vehicleowners with outstanding debt payments.

The system checks the scanned vehicles against the databases oftax and utility bills defaulters, alimony evaders, traffic andadministrative fines debtors, bank loan debtors, etc.

Road Bailiff system integrates with the databases of FederalBailiff Service and Tax Office. This system is available in severalconfigurations: stationary installation, unit for mobiledeployment and the tablet options.

BROCHURE WEB PAGE

Machine vision-based industrial control Visual control at the production line

TYPES OF SOLUTIONS

Detection and counting of manufactured items

Examination of the accuracy of assembled item

Examination and identification of items based on the colour

Defect detection

Examination of the item edge

Taking critical measurements of the item and overall tolerance check

Reading of alphanumeric markings

Reading of 1D and 2D codes from labels and items

PRE-DESIGN WORK

• Preliminary research• Formulation of technical tasks and

other project documentation

BROCHURE WEB PAGE

Machine vision-based industrial control Involvement

DELIVERY AND SETUP OF THE EQUIPMENT

• Delivery, setup, commissioning and putting into operation of all supplied machine vision equipment

MAINTENANCE AND WARRANTY SERVICE

• Consultation and engineering support• Warranty and post-warranty service

SOFTWARE DEVELOPMENT

• Development of separate software modules and up to distributed information systems with modern user interface

Machine vision-based industrial control Case: diamond classification by colour and shape

Customer: ALROSA PJSC

Task: to create an automatic system for diamond sorting by shape and color at a speed of 20 diamonds per second with recognition accuracy of at least 95%.

Solution: machine vision cameras capture the image of a diamond when it free-falls. Based on the images obtained from all cameras, the software analyzes the characteristics of the diamonds, and classifies them on the basis of the algorithm developed by Mallenom Systems.

Results: increase in general productivity, minimization of the economic losses due to human classification errors, reduction in production costs.

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Machine vision-based industrial control Case: control of the hot-rolled coils positioning

Customer: Severstal PJSC

Task: to control the positioning of the hot-rolled coils on the production line and detect their offset.

Solution: the system is based on two machine learning modules(neural networks) and utilises the video stream from IP-cameras installed at the production facility. The software monitors the positioning of coils at two control points simultaneously. The system assigns a status to each coil, which ranges from “safely positioned” to “dangerous offset” and “fallen”. All changes in the coil status are recorded to the log-files and saved in the facility database.

Challenges: IP cameras are installed at an angle which is challenging for reliable recognition;challenging lighting conditions.

Results: the system ensures early detection and control of emergency situations at the conveyor line, as well as data reliability for the hot-rolled coils tracking.

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Machine vision-based industrial control Case: quality control of agricultural products

Customer: RUSAGRO

Task: to assess the quality of sugar beets in the bed of a truck upon delivery.

Solution: once the vehicle with produce enters the control area, the system issues a signal to begin gathering the visual data. The obtained images are analyzed using neural networks based on the following criteria: presence of dirt, chipping, beet tops and frostbite on the sugar beet roots. Based on the results of analysis, the system assigns a quality category for received shipment.

Results: minimization of losses associated with storage of low-quality products.

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Machine vision-based industrial control Case: identification and counting of metal tubes

Customer: Machine builder.

Task: to read the identification markings and count the number of metal tubes inside of a packaging with 100% accuracy.

Solution: the system is based on the machine vision cameras, special purpose lighting, and the software designed to identify and read the markings from the objects’ surface and to count the number of the objects inside of a packaging.

Results: improved overall production efficiency, reduced influence of human error during object identification and counting, reliable tracking of the individual manufactured parts across the entire production line.

Machine vision-based industrial control Case: sealant application control

Customer: ThyssenKrupp System Engineering LLC for a major automotive manufacturer.

Task: to monitor the application of a sealant to the engine block.

Solution: a system based on a high-resolution machine vision camera that detects deviations in the thickness of the applied sealant, its position and uniformity. A separate video camera performs inspection of defects for the sealing ring.

Results: improved product quality, reduced number of defects and associated costs.

Machine vision-based industrial control Case: monitoring the presence of foreign matter in plastic containers

Customer: ALPLA Chekhov.

Task: to control for the presence of foreign objects inside of container, including those that match the container both in material and colour.

Solution: smart camera searches for plastic objects and any deviations in the brightness of the bottom, such as an influx of plastic or holes larger than 3 mm in diameter. Specialized background lighting was used in the final delivered solution to aid the object recognition.

Results: improved product quality, reduced number of defects and associated costs.

Machine vision-based industrial control Case: identification of pipes based on the surface markings

Customer: Major metallurgical plant.

Task: to identify the pipes based on the visual information and to track each individual pipe across different production stages.

Solution: the system based on the machine vision cameras and the recognition server performs optical recognition of the identification markings from the surface of the pipes.

Challenges: the recognition of markings is performed in severe conditions of the production facility from the pipes of large diameterwhile they are rotating around their axes. Additional difficulties arise due to the low quality of markings, large control surface area and large variety of pipes.

Results: providing reliable recognition results for each individual pipe as the pipe moves from one stage of the production onto the next.

Machine vision-based industrial control Product tracking

Intelligent Track&Trace complexes and systems are intended for tracking the manufactured products across different stages ofproduction (including, at the stage of product packaging into boxes and pallets) to prevent the counterfeiting.

At present, Mallenom Systems has developed the solutions for two industries:

ALCOHOL BEVERAGE INDUSTRY

Hardware-software complexVISCONT.Alco

PHARMACEUTICS

Hardware-software complexVISCONT.Pharma

The solutions that are implemented in these systems can be replicated and adopted for the similar tasks of different industries.

Customers from the alcoholic beverage industry: Cherepovets Distillery, Glazov Distillery, Wine Arsenal CJSC and others.

Machine vision-based industrial control Product tracking

Clients from pharmaceutical industry: RESTER CJSC, Khimreaktivkomplekt JSC, BIOTECH LLC, EDAS International Corporation LLC,and others.

Machine vision-based industrial control Product tracking

People detection and trackingSolutions

DETECTION OF PERSONAL PROTECTIVE EQUIPMENT (PPE) ON PEOPLE

• Hard hats and high visibility vests detection• Notification of the system operator in the case of violation detection• Saving the violation to the database

PEOPLE DETECTION IN THE DANGER ZONES

• Detection of people in the image• Issuing a warning signal in case the person enters the danger zone• Saving the violation to the database

QUEUE LENGTH AND PROGRESS CONTROL

• Analysis of people movement in the control area• Identification of the congestion (3 or more people)• Assessment of the number of people, their order and safe distance between people• Saving data to the database

People detection and trackingSolution: industrial safety control

Industrial safety system developed by the engineers at Mallenom Systems enables to momentarily detect such violations of industrial safety rules as absence of the personal protective equipment (PPE) or presence of people in the restricted danger zones. For its operation, the system can utilise surveillance cameras installed at the facility.

SYSTEM FUNCTIONALITY

• Detection of people in the image• PPE presence check (hard hat, high visibility vest, etc.)• Detection of people in the danger zones• Instantaneous notification of the system operator about any violation • Generation of the reports of the industrial safety violations: sending a notification,

saving a still-image or a video segment as evidence of the occurred violation• Real-time operation

MAIN ADVANTAGES OF THE SYSTEM USE

• 24/7 industrial safety monitoring and control• Decrease of the industrial safety related injuries• Improvement of labour discipline• Forming the database with the evidence of industrial safety violations

MALLENOM SYSTEMS

21B Metallurgov St., Cherepovets, Vologda region, 162606, Russia

Tel.: +7 (8202) 20-16-35

E-mail: info@mallenom.ru

Web: www.mallenom.com