Iot
Deliver Smart. Deliver Fast.
Automate your operations to deliver a satisfying customer experience, each time.
INDUSTRIES:
- Courier, Express and Parcel
- Retail and eCommerce
- Consumer Packaged Goods
- Food and Beverage
IMHOIT ADDRESSES THE SURGE IN IIOT & OT ATTACKS
Many IIoT systems, not initially designed with cybersecurity in mind, are susceptible to “cyber-physical”attacks. Moreover, the use of remote VPN connections for accessing facilities has become a majorvulnerability, threatening not only the infrastructure but also the security of sensitive data and thereliability of operations.
Advantages of IMHOIT security technology By improving data security, we protect everyone’s health and safety, from factories to hospitals, ensuring that critical devices with sensitive information are safe from cyber-attacks and even technology failures, accidental or not, ensuring data integrity Nearly one-thirds (37.9%) of total IoT were conducted unencrypted (plaintext), showing that manyorganizations overlook securing IoT traffic.
This vulnerability, coupled with the fact that over
85% of cyberattacks in 2022 were encrypted.
IMHOIT’s security solution ensures that confidential information such as intellectual property, business plans and customer data is protected from theft or tampering, protecting trade secrets andsensitive data for companies in competitive sectors.
The following services played a key role:
- Data frame obfuscation and control
- Digital signing of data at the closest point of capture and early alerts for potential tampering detection
- An additional security layer to TLS/SSL/VPN for secure data transfer to the cloud
- API through containerization (docker) for data feedback services and device network management,
- keeping the security management at a user-inaccessible abstraction layer
- Blockchain integration as a notary ledger for field data certification
Realtime 3D reconstruction using SFM algorithms.
Localization and Mapping SLAM for 3D recostruction , realtime localization and obstacle advoidance. Typical application is autonomous navigation.
Machine Learning CNN technology for realtime video classification , localization and scenario description
A.I realtime pose detection estimation .
A.I. realtime DPI detection .
Realtime geo localization of object view in the scenario by standard camera and classify by CNN neural network.