Perceptron Smart Camera — an intelligent video surveillance system that detects, recognizes, and analyzes objects in real time
Local production
AI is included
Machine vision
Built-in processor
Flexible customization
for a specific task
for a specific task
Verification and tracking
of products
of products
Application Industries
Manufacturing
Food Manufacturing
Alcohol Production
Consumer Goods
Other Manufacturing & Factories
Alcohol Production
Consumer Goods
Other Manufacturing & Factories
Agriculture
Logistics
Livestock Complexes
Processing Plants
Livestock Complexes
Processing Plants
Video Surveillance & Security
Workplace Safety
Facility Security
Facility Security
Retail
Stores
Warehouses
Logistics Complexes
Warehouses
Logistics Complexes
Food
Serivce
Serivce
Restaurants
Delivery Services
Culinary Production
Delivery Services
Culinary Production
Healthcare
Hospitals and
Pharmaceuticals
Pharmaceuticals
Astana Hub resident
Partner
In-house service and installation team, implementing solutions on-site
Integration with existing quality control and security systems at enterprises
Extensive R&D experience in microelectronics and software development
Design and manufacturing of our own intelligent video cameras
About us
We develop, implement, and support system solutions based on computer vision and machine learning technologies
CAMERAS
Perceptron – Customize
LLP “Perceptron” also offers its clients and partners customized development of intelligent cameras. This option allows us to provide the optimal combination of quality, functionality, and cost to address the specific needs of each client
Object identification and classification
Object tracking
Body movement tracking
Face recognition
Text, number, and code reading
Measurement of physical quantities
Other machine vision tasks
Object tracking
Body movement tracking
Face recognition
Text, number, and code reading
Measurement of physical quantities
Other machine vision tasks
Machine Vision for Industry
Считывание 1D кодов: Codabar, Code 39, Code 93, Code 128, DataBar, DataBar Expanded, EAN-8, EAN-13, ITF, PDF417, UPC-A, UPC-E
Считывание 2D кодов: Aztec, DataMatrix, MaxiCode, QRCode
Частота захвата кадров: до 60 кадров/сек
Единичное считывание
ПО для настройки
Разрешение изображения: до 12 МП
Формат сенсора: 1/2.3"
Считывание 2D кодов: Aztec, DataMatrix, MaxiCode, QRCode
Частота захвата кадров: до 60 кадров/сек
Единичное считывание
ПО для настройки
Разрешение изображения: до 12 МП
Формат сенсора: 1/2.3"
Пластиковый корпус
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Perceptron Mark-FHD30
User Interface – Windows GUI application Code Control Center:
-Focusing
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results (code value, code image, number of codes read)
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results (code value, code image, number of codes read)
| Lens | Varifocal |
| Dimensions | 132 mm x 150 mm x 82 mm |
| Weight | 574 g |
| Body material | Plastic |
| Protection rating | IP20 |
| Operating temperature | From -10° to 50° |
| Operating humidity | Up to 95% non-condensing |
| Storage temperature | From -25° to 80° |
| Power supply | Power-over-Ethernet IEEE802.3at, IEEE802.3af |
| Optical modules/viewing angles | 25mm/14°; 16mm/24°; 12mm/30°; 8mm/50°; 6mm/65° |
| Reading distance range | Min: 30 mm; Max: 1000 mm |
| Power consumption | Up to 20 W |
| Frame rate | Up to 60 fps |
| Sensor | 12 MP, 1/2.3" |
| Reading angle | Up to 50° |
| Mount type | 1/4" thread |
| Sensors | External sensor connection available |
| Built-in illumination | Monochrome LED illumination: power 4 W, luminous flux 450 lm, neutral white color. |
| Readable codes | 1D: Codabar, Code 39, Code 93, Code 128, DataBar, DataBar Expanded, EAN-8, EAN-13, ITF, UPC-A, UPC-E |
| 2D: Aztec, DataMatrix, MaxiCode, PDF417, QRCode | |
| Communication interfaces | Power-over-Ethernet: TCP/IP, UDP/IP, Modbus TCP bus (Master-Slave), opto-isolated input + output supporting 12V and 24V levels |
Machine Vision Cameras for Single and Batch Product Code Reading
Считывание 1D кодов: Codabar, Code 39, Code 93, Code 128, DataBar, DataBar Expanded, EAN-8, EAN-13, ITF, PDF417, UPC-A, UPC-E
Считывание 2D кодов: Aztec, DataMatrix, MaxiCode, QRCode
Частота захвата кадров: до 60 кадров/сек
Единичное считывание
ПО для настройки
Разрешение изображения: до 12 МП
Формат сенсора: 1/2.3"
Считывание 2D кодов: Aztec, DataMatrix, MaxiCode, QRCode
Частота захвата кадров: до 60 кадров/сек
Единичное считывание
ПО для настройки
Разрешение изображения: до 12 МП
Формат сенсора: 1/2.3"
Пластиковый корпус
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Perceptron Mark-FHD40-M
User Interface – Windows GUI application Code Control Center:
-Focusing
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results – code value, code image, number of codes read
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results – code value, code image, number of codes read
| Lens | Varifocal |
| Dimensions | 132 mm x 172 mm x 82 mm |
| Weight | 939 g |
| Body material | Aluminum housing, protective glass |
| Protection rating | IP65 |
| Operating temperature | From -10° to 50° |
| Operating humidity | Up to 95% non-condensing |
| Storage temperature | From -25° to 80° |
| Power supply | Power-over-Ethernet IEEE802.3at, IEEE802.3af |
| Power consumption | Up to 20 W |
| Frame rate | Up to 60 fps |
| Sensor | 12 MP, 1/2.3" |
| Optical modules/viewing angles | 25mm/14°; 16mm/24°; 12mm/30°; 8mm/50°; 6mm/65° |
| Reading distance range | Min: 30 mm; Max: 1000 mm |
| Reading angle | Up to 50° |
| Built-in illumination | Monochrome LED illumination. Color per customer request. Optional installation of RGB LEDs for status indication. |
| Sensors | Built-in laser distance sensor. External sensor connection available. |
| Readable codes | 1D: Codabar, Code 39, Code 93, Code 128, DataBar, DataBar Expanded, EAN-8, EAN-13, ITF, UPC-A, UPC-E |
| 2D: Aztec, DataMatrix, MaxiCode, PDF417, QRCode | |
| Communication interfaces | Power-over-Ethernet: TCP/IP, UDP/IP, Modbus TCP bus (Master-Slave), opto-isolated input + output supporting 12V and 24V levels |
Machine Vision Cameras for Single and Batch Product Code Reading
Считывание 1D кодов: Codabar, Code 39, Code 93, Code 128, DataBar, DataBar Expanded, EAN-8, EAN-13, ITF, PDF417, UPC-A, UPC-E
Считывание 2D кодов: Aztec, DataMatrix, MaxiCode, QRCode
Частота захвата кадров: до 60 кадров/сек
Единичное считывание
ПО для настройки
Разрешение изображения: до 12 МП
Формат сенсора: 1/2.3"
Считывание 2D кодов: Aztec, DataMatrix, MaxiCode, QRCode
Частота захвата кадров: до 60 кадров/сек
Единичное считывание
ПО для настройки
Разрешение изображения: до 12 МП
Формат сенсора: 1/2.3"
Пластиковый корпус
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Perceptron Mark-FHD40-A
User Interface – Windows GUI application Code Control Center:
-Focusing
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results – code value, code image, number of codes read
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results – code value, code image, number of codes read
| Lens | Autofocus |
| Dimensions | 132 mm x 150 mm x 82 mm |
| Weight | 887 g |
| Body material | Aluminum housing, protective glass |
| Protection rating | IP65 |
| Operating temperature | From -10° to 50° |
| Operating humidity | Up to 95% non-condensing |
| Storage temperature | From -25° to 80° |
| Power supply | Power-over-Ethernet IEEE802.3at, IEEE802.3af |
| Power consumption | Up to 20 W |
| Frame rate | Up to 60 fps |
| Sensor | 12 MP, 1/2.3" |
| Optical modules/viewing angles | 3.24mm/87° |
| Reading distance range | Min: 50 mm; Max: 200 mm |
| Reading angle | Up to 50° |
| Built-in illumination | Monochrome LED illumination. Color per customer request. Optional installation of RGB LEDs for status indication. |
| Sensors | Built-in laser distance sensor. External sensor connection available. |
| Readable codes | 1D: Codabar, Code 39, Code 93, Code 128, DataBar, DataBar Expanded, EAN-8, EAN-13, ITF, UPC-A, UPC-E |
| 2D: Aztec, DataMatrix, MaxiCode, PDF417, QRCode | |
| Communication interfaces | Power-over-Ethernet: TCP/IP, UDP/IP, Modbus TCP bus (Master-Slave), opto-isolated input + output supporting 12V and 24V levels |
Machine Vision Cameras for Single and Batch Product Code Reading
SOFTWARE
Пластиковый корпус
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Perceptron ToolKit
User Interface – GUI:
-Image analysis and processing using both classical methods and neural networks
-Preprocessing image filters
-Creation, editing, and debugging of scenarios
-Setting output conditions with the ability to send signals to external devices
-Library of ready-made algorithms (defect detection, text recognition, etc.)
-Working with datasets
-Preprocessing image filters
-Creation, editing, and debugging of scenarios
-Setting output conditions with the ability to send signals to external devices
-Library of ready-made algorithms (defect detection, text recognition, etc.)
-Working with datasets
Video Analytics Scenario Creation Software for Aivisum Cameras
Пластиковый корпус
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Объективы: с фиксированным фокусным
расстоянием (от 6 мм до 25 мм)
Поддерживаемые протоколы передачи данных:
TCP, UDP, SFTP, FTP
Встроенная подсветка
Процессор: Nvidia Tegra
Внешний интерфейс и питание: Ethernet
с поддержкой PoE
Perceptron Tool Kit
User Interface – GUI:
-Focusing
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results – code value, code image, number of codes read
-Setting the trigger for rejection
-Camera status monitoring
-Selection of readable code types
-Adjustment of built-in lighting intensity
-Archive of reading results – code value, code image, number of codes read
Video Analytics Scenario Creation Software for Aivisum Cameras
Code Control Center
The Code Control Center application provides a user interface for
configuring the settings of Perceptron Mark series cameras.
It allows you to adjust:
configuring the settings of Perceptron Mark series cameras.
It allows you to adjust:
Camera positioning
Camera focusing
Sensor parameters according to external conditions
Triggers for rejection
Network configuration
Readable code types
Integration with software from other integrators
Camera focusing
Sensor parameters according to external conditions
Triggers for rejection
Network configuration
Readable code types
Integration with software from other integrators
Mandatory labeling
Main outcome of implementation –
Significant increase in
economic efficiency
economic efficiency
Minimization of errors
Reduction of costs and payroll
Decrease in unproductive expenses
Reduction of time and financial costs for product processing
Reduction of costs and payroll
Decrease in unproductive expenses
Reduction of time and financial costs for product processing
Improvement of product quality
Increase in profitability
Delivery of highly accurate data
Increase in production speed
Increase in profitability
Delivery of highly accurate data
Increase in production speed
Ensuring accounting and control
Rationalization of human labor
Automation and optimization of processes
Ensuring safety
Visualization of production processes
Rationalization of human labor
Automation and optimization of processes
Ensuring safety
Visualization of production processes
Inspection and monitoring of equipment, transport, and infrastructure
Implementation of Perceptron in production
Monitoring of produced goods and production processes
Solving product labeling tasks –
excise, text, 2D and 3D codes
excise, text, 2D and 3D codes
Personnel: compliance with regulations, standards, and rules; adherence to working hours
Replacement of manual control of equipment and other
external devices
external devices
Unique tasks for
Machine Learning
Machine Learning
Implementation of Perceptron in production
Monitoring of produced goods and production processes
Solving product labeling tasks – excise, text, 2D and 3D codes
Personnel: compliance with regulations, standards, and rules; adherence to working hours
Replacement of manual control of equipment and other
external devices
external devices
Inspection and monitoring of equipment, transport, and infrastructure
Unique tasks for
Machine Learning
Machine Learning
OUR OFFER
Conducting a pilot project for the implementation of the Perceptron hardware-software system with a guarantee of achieving the set objectives.
On average, our equipment is 20–40% cheaper than competitors.
On average, our equipment is 20–40% cheaper than competitors.
stage1
Determining the most optimal directions for system implementation at the enterprise
stage2
Develop a detailed technical specification outlining the specific metrics to be achieved as a result of the implementation
stage3
Sign the contract. The client pays an advance only for the cost of the equipment
stage4
Implement the system at the enterprise
stage5
Conduct analytics and report on the implementation results. If the declared results are successfully achieved, post-payment is made, and the system can be expanded to other areas and tasks
Collaboration Plan (3–4 months):
CALCULATE the PROJECT
CONTACTS
