Improve safety
smart cameras with embedded AI
Respond quickly to potential threats
Gain real-time insights
Without any additional steps or human factors
Save on server space and data traffic
Enjoy reduced costs with edge computing
smart cameras with embedded AI
Respond quickly to potential threats
Without any additional steps or human factors
Enjoy reduced costs with edge computing
Improve safety
Gain real-time insights
Save on server space
and data traffic
With our solution, we have optimized neural networks on a single-board computer.
This allows us to achieve server-like performance on a compact smart camera.
Video analytics in existing smart cameras cannot offer server-level performance. These cameras typically are limited to simple video analytics that are similar across different camera models.
While neural networks can offer solutions for complex business issues, they require significant computer resources.
Built-in AI
SOLUTION
PROBLEM
SMART CAMERAS
A video analytics system
designed from the ground up
*upon customer needs
Processing video streams on the camera via machine vision and neural networks.
SENSORS
& OPTICS
*
Industrial housing for harsh conditions with 2 types of lens placement
EDGE DEVICE
Video analytics for existing
video surveillance systems
CMOS sensors
of various resolutions
IR sensors with an accuracy of up to 0.2°C
for temperature analysis
Lenses:
• Fisheye
• Varifocal 4x-8x
• Long-focus 16x
Integration of cameras
from different manufacturers
into a single video analytics system.
Transforms any IP camera
to smart camera.
Ethernet, Wi-Fi, LTE
12В, PoE,
battery
Wide range of optics
Operating range
from -45 to +50°C
Vandal-proof
metal housing
Easy integration with external systems
Dustproof, waterproof
IP68
Functional backend for remote configuration
Explosion safety

CAMAI
vs. server-based video analytics

Server-based video analytics
CAMAI
AI onboard
Optimized neural networks
AI smart camera with server-like performance
Optimized hardware
One entry-level server can support thousands of smart cameras
Internet data traffic significant cost reduction. Only alerts and relevant photo/video are transmitted
Data transfer cost reduction
Secure data transfer
Reliable data protection that does not require service engineers with specialized training.
All that is required are new cameras. Only minimum requirements for communication circuits
Limitless scalability
High performance
Expensive server hardware
Neural networks
Expensive communication circuits and data transfer. Video streams from CCTV cameras are continuously transmitted to servers for additional processing
Expensive communication circuits and data transfer. Video streams from CCTV cameras are continuously transmitted to servers for additional processing
Expensive data transfer
Data security issues
Difficult to organize secure video streaming to servers, requiring qualified personnel
Scalability is limited by the capabilities of server hardware and communication circuits
Limited scalability
CAMAI can function even on moving objects, where it would be impossible to run server-based video analytics

CAMAI
vs. server-based video analytics

Server-based video analytics
CAMAI
AI onboard
Optimized neural networks
AI smart camera with server-like performance
Optimized hardware
One entry-level server can support thousands of smart cameras
Internet data traffic significant cost reduction. Only alerts and relevant photo/video are transmitted
Data transfer cost reduction
Secure data transfer
Reliable data protection that does not require service engineers with specialized training.
All that is required are new cameras. Only minimum requirements for communication circuits.
Limitless scalability
High performance
Expensive server hardware
Neural networks
Hard-to-predict costs for powerful GPUs servers
Expensive communication circuits and data transfer. Video streams from CCTV cameras are continuously transmitted to servers for additional processing
Expensive data transfer
Data security issues
Difficult to organize secure video streaming to servers, requiring qualified personnel.
Scalability is limited by the capabilities of server hardware and communication circuits.
Limited scalability
CAMAI can function even on moving objects, where it would be impossible to run server-based video analytics
SPHERES
RETAIL
Visitor counter and demographics
Biometric control of employees' working hours
Queue control
IR body temperature control
Visitors heat map
LOGISTICS
Biometric control of employees'
working hours
Monitoring of logistics operations
Forklift speed measurement and red zone control
PPE control
EDUCATION
Biometric identification
IR body temperature control
Student vigilance control
Premise and perimeter protection
Weapon detection
SMART CITY
Biometric identification
Abandoned items detection
Crowd detection
Behavior detection for unruly individuals
Smoke and fire detection
TRANSPORT
Driver attention monitoring
Passangers safety control
Vehicle classification
Traffic jam detection
Smart parking
Bus passanger counter
CONSTRUCTION
Personal protective equipment (PPE) control
Worker counter
Safety regulation compliance monitoring
Material control
Fire and smoke detection
INDUSTRY 4.0
Personal protective equipment (PPE) control
Red zone control
Operators' vigelance monitoring
Technological regulations and processes monitoring
Cellphone usage
Employees and contractors monitoring
Didn't find a solution?
Contact us and we will develop a solution for your exact needs.
SPHERES
RETAIL
Visitor counter and demographics
Biometric control of employees' working hours
Queue control
IR body temperature control
Visitors heat map
TRANSPORT
Driver attention monitoring
Vehicle classification
Passangers safety control
Traffic jam detection
Bus passanger counter
Smart parking
LOGISTICS
Biometric hours and shifts control
Monitoring of logistics operations
Forklift speed measurement
and red zone control
PPE control
SMART CITY
Biometric identification
Abandoned items detection
Crowd detection
Behavior detection for unruly individuals
Smoke and fire detection
Didn't find a solution?
Contact us and we will develop
a solution for your exact needs.
EDUCATION
Biometric identification
IR body temperature control
Student vigilance control
Premise and perimeter protection
Weapon detection
PPE control
Worker counter
Safety regulation monitoring
Material control
CONSTRUCTION
PPE control
Red zone control
Operators' vigelance monitoring
Technological regulations and processes monitoring
Cellphone usage
Employees and contractors monitoring
Fire and smoke detection
INDUSTRY 4.0
GOALS:
  1. Reduce equipment downtime costs.
  2. Automate control of production operators.
  3. Optimize production processes on conveyor lines.
  4. Ensure occupational safety at chemical industry enterprises.
WHAT WE CONTROL:
  • PPE
  • operator vigilance
  • overheating of conveyor belt shafts
  • distributed personnel access
  • volume of ammonium nitrate spills
  • shift composition, number of employees
  • compliance with process regulations
CASE: INDUSTRY 4.0
RESULTS
-14% equipment downtime
-72% violations of operators
-75% falling asleep at work
-92% violation of the "red zones"
GOAL:
Count incoming and outgoing passengers, their number in the bus cabin in real time using standard video surveillance cameras.
IMPLEMENTED:
  • Counting passengers in various visibility conditions
  • Integration with on-board computer for comparison with the number of validations of travel documents and calculation of the potential number of fare dodgers to increase the efficiency of the controller teams.
CASE: PUBLIC TRANSPORT
ACHIEVEMENTS:
When counting passengers using standard cameras placed in the bus,
an accuracy of over 98% was achieved.
GOALS:
  1. Automate monitoring of student and teacher attendance.
  2. Organize collection of data on student engagement in lectures.
  3. Ensure comprehensive security of university buildings.
IMPLEMENTED SCENARIOS:
  • Detection and recognition of people
  • Tracking head rotation and gaze direction
  • Recognition of open carrying of weapons
  • Abandoned items
  • Lying person
CASE: EDUCATION
ACHIEVEMENTS:
A comprehensive automatic tool for assessing and monitoring student attendance and involvement has been developed in the form of an administrative web interface and a mobile application for students; a system for preventing dangerous situations on the territory of the university's academic buildings has been organized.
GOALS:
  1. Ensure the safety of processes in the warehouses of a beverage manufacturer.
  2. Respond promptly to violations and emergency situations.
IMPLEMENTED SCENARIOS:
  • Measuring the speed of forklifts and monitoring dangerous maneuvering
  • Monitoring violations of "restricted zones" with dynamic changes in zone boundaries (for loading and unloading operations).
  • Monitoring the wearing of PPE.
CASE: WAREHOUSE LOGISTICS
ACHIEVEMENTS:
-87% total number of violations by employees.
-97% PPE wearing rules violations
*one month after the implementation of the CAMAI video analytics platform
Project Stages
typically 4-6 months for enterprises
  • Investigation
    We define key success indicators, identify pain points, and offer an effective solution to the problem.
    1
  • Neural Network Training
    We record materials from the project environment, enrich datasets, customize neural network models, and further train neural networks to achieve target accuracy in a laboratory conditions.
    2
  • Production
    We select the component base, port the software, assemble cameras for the task with the necessary sensors and network interfaces.
    3
  • Commissioning
    We install the equipment on the Customer’s premises, conduct test operation, if necessary, further train the neural networks, conduct acceptance tests and put the system into commercial operation.
    4
  • Support
    We support the project at all stages. Promptly respond to requests and monitor the stable operation of the system.
    5
CAMAI technology
Accelerate data processing on a single board computer, with speeds up to 30 to 50 times faster compared to running unoptimized server code.
Acquiring video stream
Applying computer vision methods
Neural network optimization
Operations minimization
Parallel processing
Established in 2004, we are an IT company that provides innovative AI-powered video analytics software solutions for improved security and safety for governments and organizations.
AB Technology
Tech Explorer Accelerator 2021 winner.
Transport Innovations of Moscow accelerator finalist.
Skolkovo innovation center resident.
highly qualified employees, including experienced developers, programmers, data analysts, and industrial designers.
Trusted by
Trusted by
Video analytics
at the edge
for your needs
Reduce costs associated with hardware and communication circuits

Unique solution for geographically separated video analytics systems

64 Lesnoy Avenue,
Saint-Petersburg,
Russia
*According to Biometrics testing results on independent databases LFW, Feret, MegaFace, etc. (3 million photos).
Copyright © 2022 AB Technology All rights reserved
64 Lesnoy Avenue,
Saint-Petersburg,
Russia
*According to Biometrics testing results on independent databases LFW, Feret, MegaFace, etc. (3 million photos).
Copyright © 2022 AB Technology All rights reserved