TRASSIR SOLUTIONS AND PRODUCT EXPO GUIDE
- Face Recognition 2.0
- Neuro Detector
- Neuro Counter
- AutoTRASSIR
- Pose Detector
- Crowd Detector
- WorkPlace Detector
- HardHat Detector
- Wear Detector
- Bag Counter
- ActivePOs
- ActiveStock
- Shelf Detector
- Queue Detector
- Sabotage Detector
- Fire and Smoke Detector
- Access Control System
- HeatMap on Map
Learn more about TRASSIR modules
- Large areas: difficult to control theft in the sales area, difficult to monitor the display of goods.
- Large customer flow: queue formation, difficult to forecast the need for cashiers.
- Small area: the sales area is difficult to see.
- Small number of staff: difficult to control theft in the sales area.
- One employee: it is difficult to control presence at the workplace.
- Receives data from cash register equipment about receipts, goods in receipts, opening of the cash drawer, etc.
- Filming the cash register.
- Compares data on the cashier's actions with corresponding video clips in the archive.
- Compares cashier and customer actions with predefined scenarios of dangerous actions.
- When actions coincide with the scenario, information about the potential threat with video link is transmitted to the responsible person.
- Generates reports about suspicious incidents.
- Face Detection - Finds and selects faces in the camera video. It is possible to detect a face in a video taken from any angle, including faces in profile.
- Tracking multiple faces in a video stream - Tracking a moving face in a video stream.
- Identifying people by face and quality assessment. Compare a found face with a face stored in the database and determine the degree of match.
- Archive Search - Search the archive for all detected frames with a specified face.
- Detects the presence or absence of goods on the shelf.
- Sends notifications to store personnel when a shelf is below a preset level.
- Generates reports on shelf occupancy within a specified period of time.
- Based on a neural object detector, which allows you to recognize objects with high accuracy.
- Allows you to count people even in dense crowds (thanks to the head counting algorithm).
- Enables reporting on queue dynamics.
- Allows you to receive notifications when the maximum number of people in the queue exceeds the threshold.
- Powered by a neural object detector, which allows you to identify objects with high accuracy.
- Uses the object tracking mechanism to count unique objects.
- Allows you to count objects that cross a specified line.
- The operator can designate up to 16 lines on the screen for counting.
- It is possible to expand base functionality using scripts.
- Use a script to display the number of people in a room in real time.
- Kinetic map shows the areas where people pass more frequently.
- Stationary map shows areas where people stopped most frequently.
- Trajectories shows the approximate direction of movement of objects on the map.
- In restricted areas, it is difficult to reliably identify employees who have authorized access.
- When different categories of customers visit the same branch, it is difficult to identify large and VIP customers in order to give them priority service.
- It is difficult to control bank customer access after hours.
- It is difficult to detect unwanted individuals in the ATM area.
- Receives data from cash register equipment about receipts, goods in receipts, opening of the cash drawer, etc.
- Filming the cash register.
- Compares data on the cashier's actions with corresponding video clips in the archive.
- Compares cashier and customer actions with predefined scenarios of dangerous actions.
- When actions coincide with the scenario, information about the potential threat with video link is transmitted to the responsible person.
- Generates reports about suspicious incidents.
The functionality of the module allows you to search through the data output from the counting machine. When selecting the data, you can go to the desired moment in the video archive.
- The customer is entered into the face database as a VIP customer or as an undesirable customer in the Banlist.
- When a visitor appears in the branch, the face is recognized and compared with the existing database.
- After the face is found in the database, the necessary employee (security service or client manager) is notified according to a pre-defined scenario.
- A camera with the Pose Detector module connected to it records the room.
- The neural network detects a person's presence in the frame and finds the position of his body parts.
- Based on the movement of key points of a person's body, the module classifies the pose.
- In case a person is in one of the monitored poses, a notification is sent based on the specified scenario.
- Alerting security officers about people lying on the floor near the ATM. Identifying undesirable persons.
- Notification of unusual employee and visitor behavior in case of robbery and other emergencies.
- Preventing unauthorized visitor activity outside of business hours, as well as visits by customers on the Ban List.
- If a person appears in the ATM area or the bank's internal premises after hours, a security officer is notified.
- A security officer is notified when a Ban Listed visitor enters the depository.
Detection of object intrusion into the protected area: Neuro Detector
Recognizing and searching for people from a preconfigured database of faces: Face Recognition.
- Determine the number of customers and hours of maximum occupancy of the establishment.
- Reduce losses from error, misconduct and theft.
- Monitor what is happening at the cash register and data issued by the cash terminal, identifying suspicious transactions.
- Timekeeping and control over compliance with work schedules.
- Monitor compliance with service and food preparation standards.
- Monitor the use of uniforms and personal protective equipment.
- Reduction of losses from theft and fraud.
- Receives data from cash register equipment about receipts, goods in receipts, opening of the cash drawer, etc.
- Filming the cash register.
- Compares data on the cashier's actions with corresponding video clips in the archive.
- Compares cashier and customer actions with predefined scenarios of dangerous actions.
- When actions coincide with the scenario, information about the potential threat with video link is transmitted to the responsible person.
- Generates reports about suspicious incidents.
- Face Detection - Finds and selects faces in the camera video. It is possible to detect a face in a video taken from any angle, including faces in profile.
- Identifying people by face and quality assessment. Compare a found face with a face stored in the database and determine the degree of match.
- Archive Search - Search the archive for all detected frames with a specified face.
- Based on a neural object detector, which allows you to recognize objects with high accuracy.
- Allows you to count people even in dense crowds (thanks to the head counting algorithm).
- Enables reporting on queue dynamics.
- Allows you to receive notifications when the maximum number of people in the queue exceeds the threshold.
- Powered by a neural object detector, which allows you to identify objects with high accuracy.
- Uses the object tracking mechanism to count unique objects.
- Allows you to count objects that cross a specified line.
- The operator can designate up to 16 lines on the screen for counting.
- It is possible to expand base functionality using scripts.
- Use a script to display the number of people in a room in real time.
- Maintains a record of cars entering and exiting the parking lot, stores the license plate number, photo and exact time of entry and exit.
- Calculates the time vehicles remain in the parking lot.
- Displays information about the current parking status and vehicle movement history on the operator's screen.
- Control of unauthorized access to the territory.
- Parking fee control.
- Control the number of cars on the territory and the length of their stay.
- It is labor-intensive to manually search for the required vehicle in the archive.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- Employees do not wear hardhats or special clothing.
- It is labor-intensive to manually keep track of each employee's arrival, departure, and on-duty time.
- Sets the working area, employee schedule, and allowable time of absence from the workplace.
- The camera with the connected module is installed in the working area.
- The module sends a notification if an employee is late, leaves early, or is absent from the workplace for longer than the specified period of time.
- The module generates reports on actual hours worked and sends them to management if necessary.
- HardHat Detector and protective clothing detector.
- Monitors safety compliance at the production or construction site.
- Sends a notification to the responsible employee when a person without a hardhat is detected.
- Notifies responsible employees about violations: not wearing protective clothing or uniforms.
- The module minimizes the operators functions and prevents errors resulting manual counts of loaded goods, as well as fraud by personnel.
- The result is a reduction in financial losses caused by the "human factor" and payroll expenses.
- Additional help in fast detection of fire and smoke at facilities.
- Increased safety levels at manufacturing facilities, storage yards and warehouses with flammable materials.
- Fast notification of fire and smoke.
- Difficult to monitor unauthorized access to the site.
- Difficult to reliably identify employees authorized to access the facility.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- Accurate employee facial recognition.
- Automatic comparison of a person with whitelists and banlists.
- Reduction of errors due to manual labor.
- Reduction in the number of security guards.
- Elimination of theft in collusion with the guard.
- Determination of facial vividness to exclude the possibility of passage using someone else's photo.
- Possibility to organize personnel working time management.
- Additional help in fast detection of fire and smoke at facilities.
- Increased safety levels at manufacturing facilities, storage yards and warehouses with flammable materials.
- Fast notification of fire and smoke.
- Difficult to monitor unauthorized access to the area, number of vehicles on the site, and length of stay.
- Employees not wearing hardhats and protective clothing.
- Receives information from the warehouse database on the movement of goods.
- Takes pictures of the warehouse.
- Compares events from the warehouse database with video recordings.
- In case of violation of requirements, e.g. shipment time, creates an event in TRASSIR VMS and sends a notification according to a pre-created script.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- Detects the presence of a hard hat on a person's head.
- If a person is found without a hard hat, sends a notification to the responsible employee.
- Identifies overalls by color of shirt, shirt, vest, robe, overalls.
- Notifies responsible employees about violations: not wearing overalls or uniforms.
- The module minimizes the operators functions and prevents errors resulting manual counts of loaded goods, as well as fraud by personnel.
- The result is a reduction in financial losses caused by the "human factor" and payroll expenses.
- Difficult to monitor unauthorized access to the site.
- Difficult to reliably identify employees authorized to access the facility.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- Accurate employee facial recognition.
- Automatic comparison of a person with whitelists and banlists.
- Reduction of errors due to manual labor.
- Reduction in the number of security guards.
- Elimination of theft in collusion with the guard.
- Determination of facial vividness to exclude the possibility of passage using someone else's photo.
- Possibility to organize personnel working time management.
- It is difficult to reliably identify employees authorized to access the office.
- It is labor-intensive to manually keep track of each employee's arrival, departure, and on-duty time.
- Accurate employee facial recognition.
- Automatic comparison of a person with whitelists and banlists.
- Reduction of errors due to manual labor.
- Reduction in the number of security guards.
- Elimination of theft in collusion with the guard.
- Determination of facial vividness to exclude the possibility of passage using someone else's photo.
- Possibility to organize personnel working time management.
- Sets the working area, employee schedule, and allowable time of absence from the workplace.
- The camera with the connected module is installed in the working area.
- The module sends a notification if an employee is late, leaves early, or is absent from the workplace for longer than the specified period of time.
- The module generates reports on actual hours worked and sends them to management if necessary.
- HardHat Detector and protective clothing detector.
- Monitors safety compliance at the production or construction site.
- Difficult to monitor unauthorized access to the area, number of vehicles on the site, and length of stay.
- It is difficult to forecast demand for the number of service personnel.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- Helps to immediately inform the operator about atypical scene changes in the camera frame, which may lead to complete or partial loss of video data.
- Helps to increased site security.
- Theft prevention at warehouses.
- Prevention of unauthorized access to facilities.
- When the maximum number of people in the zone is breached, TRASSIR Crowd Detector automatically generates an alarm notification and sends it to the operator.
- The TRASSIR Crowd Detector can be used at any facility, where excessive crowding can lead to crime and security control is required.
- It is difficult to reliably track a child's attendance at an institution.
- Difficult to monitor unauthorized access to the area, number of vehicles on the site, and length of stay.
- It is difficult to reliably identify employees authorized to access the area.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- Accurate employee facial recognition.
- Automatic comparison of a person with whitelists and banlists.
- Reduction of errors due to manual labor.
- Reduction in the number of security guards.
- Elimination of theft in collusion with the guard.
- Determination of facial vividness to exclude the possibility of passage using someone else's photo.
- Possibility to organize personnel working time management.
- Difficult to monitor unauthorized access to the area.
- Increase, control and forecast the throughput capacity of the checkpoint.
- Automatic recording of vehicle entry and exit times.
- Barrier, camera and TRASSIR recorder are installed.
- The license plate detector is configured in TRASSIR.
- A "white list" of license plates is created.
- A script is installed to integrate with the barrier and send out notifications.
- It is possible to set up opening of the barrier by whitelist, as well as notifications if the number cannot be recognized.
1. License plate recognition accuracy AutoTRASSIR module 95-99%.
2. Increase of checkpoint throughput capacity up to 30%.
3. Elimination of theft in collusion with the guard by up to 99.9%.
4. Reduce the number of guards at checkpoints by up to 50%.
- When the maximum number of people in the zone is breached, TRASSIR Crowd Detector automatically generates an alarm notification and sends it to the operator.
- The TRASSIR Crowd Detector can be used at any facility, where excessive crowding can lead to crime and security control is required.
- Helps to immediately inform the operator about atypical scene changes in the camera frame, which may lead to complete or partial loss of video data.
- Helps to increased site security.
- Theft prevention at warehouses.
- Prevention of unauthorized access to facilities.
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