Additional research designated to select the mathematical algorithms recognizing customers 'deviant behavior and to build and train neural network and static models identifying thefts in shopping spaces.
Streamlining the system algorithms, searching for the best ways to scale up the solution and
reduce reliance on equipment capacities and requirements to closed-circuit television (CCTV)
cameras.
Developing an application, users 'personal online accounts with chargeable features and embedded analytics, mobile app-to-app integration.
Scaling up the solution to numerous shopping spaces, thereby spotting a great variety of behavioral patterns and customer thefts. Testing the stand-alone mode of the solution in real conditions, developing an automated system which assesses the algorithm accuracy (auto testing), generating the dataset, model fine-tuning in the automated mode.
A robust streamlined ready-to-use anti-theft unit tested in real conditions (SourceForge/Python alpha version).
Final mint stage — launch of 1334 NFT collection
mint per BSC, 1 NFT = >4,4 BNB
September — November 2024
Beta testing, creation of a sales department, a marketing and advertising department, a technical support department, planning a product development strategy, assessing markets and potential customers.
Anti-theft module
sales start point
- Development, testing and integration into the system of a module for monitoring and optimizing the work of merchandisers. Creation of a heat map of the passage of visitors through the territory of the store with the allocation of places of accumulation of different groups of buyers
- Development, testing and integration into the system of a module for monitoring the behavior of personnel on the trading floor: display of goods, presence at the workplace, compliance with regulations
- Development, testing and integration into the system of a module for controlling the behavior of cashiers
- Development, testing and implementation in the system for assessing the coverage of consumers and their return rate
- Creation and testing of back-end and front-end interfaces for all system modules
- Commissioning of a notification system with distributed access rights for owners and top managers
- Creating datasets for all systems
Development and implementation of additional four modules of the system
Launch of 888 NFT collection
mint per BSC, 1 NFT = 3,5 BNB
Technical and organizational preparation
- Purchase of equipment
- Emulator building
- Work schedule, performers, job responsibilities
The beginning of the development of the alpha version of the anti-theft module of the «Sen Vision» system
Active sales of the «Sen Vision» system as a unified analytical complex, planning the company’s development strategy based on market conditions, preparing for the development of new products based on machine vision.
Active sales of
the «Sen Vision» system
Embedding the new solutions in local IP cameras in stores and streamlining the algorithm in order to alleviate the requirements to the end product hardware. Reducing the requirements to the image quality and therefore to the communication channel for analyzing the customers with subsequent use of wi-fi cameras.