Case studies
Case studies
Privacy
Introduction
Autosense is a New Zealand-based company focusing on improving road safety through innovative technology solutions for commercial driver training and management. They aim to make commercial driver training more accessible and manageable, contributing significantly to road safety in New Zealand.
We offer many services and products for light and heavy vehicle fleets, including online driver training modules, in-vehicle coaching, in-cab simulator training, and fatigue and distraction prevention tools, such as Guardian by Seeing Machines. Guardian is a state-of-the-art product that uses eye and face-tracking software to provide real-time monitoring for fatigue and distraction, and it has been proven to reduce fatigue-related incidents by more than 90%.
Video Telematics. We offer MiTAC's cloud-based video telematics solution, featuring the K245 dashcam with AI technology, which revolutionises fleet management by providing real-time, AI-driven analysis of driver behaviour and road conditions, enhancing safety and efficiency. It includes features for fleet tracking, incident investigation, and a cloud portal for event review and footage storage.
Autosense offers various programs through its Fleet Driver Training programs including Heavy Vehicle Simulator, Bus Simulator, specialised online modules, practical driver training and education. These modules streamline training and induction processes, ensuring that learning records are centralised and compliance levels are reported. Autosense also allows businesses to customise their training to meet their specific needs.
Collaboration with key partners is integral to our operational model. We work with organisations such as Seeing Machines, NZI, Success Formula, Fit for Duty, and EROAD to provide comprehensive safety and efficiency solutions for fleet management. These collaborations enhance our ability to address various aspects of driver safety, such as fatigue and distraction monitoring, sleep apnoea diagnosis and management, change management, and technological integration for fleet analytics and safety. Our partners, Seeing Machines (Guardian) and MiTAC Holdings Cloud Telematics manage data for these services.
Autosense values privacy and data protection and has a Privacy Statement outlining how we collect, use, and protect personal information. This ensures transparency and security in all our operations. You can review our Privacy Statement to understand better our practices and your rights regarding your personal information.
A summary of our partners' privacy practices is set out below with links to detailed information on their privacy practices by visiting their privacy policy pages on their websites.
AutoSense Privacy Statement
Collection of Information: We collect personal information about you from your employer, including your name and relevant contact details. We collect risk assessments via online surveys and in-vehicle courses and through truck and bus driving simulation scenarios. We keep your assessment and training records to identify potential driving risks while working for your employer, address you by name, and record your training and assessment. The information collected is necessary for our services and will not be used for other purposes without your consent.
Accuracy of Personal Information. We rely on your employer to provide us with current and valid personal information about you. This data is provided by electronic transfer to Autosense. If there are errors or omissions, you can ask for these to be corrected, which we will do.
Use of Information: We use your personal information only for the purpose for which it was collected. We will not use your information for other purposes unless we have your explicit consent or are required by law.
Disclosure of Information: Besides our staff, we share this information with your employer to manage the safe use of vehicles you drive for work purposes and to identify your driving risks and knowledge. We will not disclose your personal information to other third parties unless we have your consent or are required by law. If we need to send your information outside New Zealand, we will ensure the receiving country has similar privacy protections.
Storage and Security: We store your personal information securely to prevent unauthorised access, use, modification, or disclosure. We will not keep your personal information for longer than necessary.
Optional Information: Providing some information is optional. If you choose not to enter your name and email address, you cannot complete self-assessments and evaluation sessions.
Access and Correction: You have the right to ask for a copy of any personal information we hold about you and ask for it to be corrected if you think it is wrong. If you'd like to request a copy of your data or have it corrected, please contact us at support@autosense.co.nz.
Unique Identifiers: If you are undertaking online courses through our learning management system (LMS), your username will be unique to ensure valid links between your personal information and training records.
Review: We will review our privacy policy and publish updates on this page.
We value your privacy and are committed to protecting your personal information. By using our services, you consent to collecting, using, and disclosing your personal information as described in this Privacy Policy.
STORAGE OF INFORMATION
Your information is held in secure online systems. These systems include
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Enterprise endpoint anti-virus and hacking prevention (Webroot)
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Unified threat protection firewall (UTP)
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Complete disaster recovery to prevent data loss and hacker prevention.
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Multifactor Authentication for sign-in for all users.
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Docebo Learning Management System.
SEEING MACHINES PRIVACY POLICY SUMMARY
Seeing Machines Limited, headquartered in Australia, is recognised as a leader in computer vision technologies designed to enhance safety and efficiency across various operations by monitoring the attention of drivers in real-time. The company is committed to the privacy and protection of Personal Data, adhering to applicable data protection laws, contractual obligations, and the expectations of their stakeholders. Their Privacy Policy outlines the handling of Personal Data, including sensitive information obtained through in-vehicle recordings, to develop an understanding of safety behaviours among vehicle operators. The policy details the purposes for which data is collected, how it is used and shared, and individuals' rights concerning their Personal Data, emphasising measures to secure the data against unauthorised access or use. Their privacy policy can be found here: Privacy Policy | Seeing Machines.
MITAC PRIVACY POLICY SUMMARY
MiTAC Holdings Corporation, along with its affiliated companies (collectively referred to as the "Company"), acknowledges the importance of privacy and is committed to safeguarding personal information collected through various channels, including customer services, online transactions, and marketing activities. In alignment with the Personal Information Protection Act, the Company outlines the purposes for collecting personal information, which range from marketing to legal matters and customer service. The policy clarifies the types of information collected, how it is used, and individuals' rights regarding their personal information. It stresses the importance of consent and provides avenues for individuals to manage their personal information, emphasising the Company's dedication to transparency and compliance with legal standards. You can see their Privacy Policy here: Mitac Privacy Policy.
Privacy policy explainer
NZ's Privacy Principles | AutoSense Privacy Policy Details with Examples | Seeing Machines Privacy Policy Examples | MiTAC Privacy Policy Analysis with Examples |
|---|---|---|---|
Principle 1: Purpose of collection of personal information | Includes collecting risk assessments via online surveys, in-vehicle courses, and truck and bus driving simulation scenarios, alongside personal information from employers. Example: Conducting a risk assessment survey or a simulation assessment session to evaluate driving skills. | They collect personal data to enhance safety and efficiency, monitor driver behaviour, and develop safety technologies. Example: Collecting video and still images of drivers to monitor fatigue and distraction. | MiTAC specifies purposes, including marketing, customer service, and e-commerce services, aligning with the New Zealand Privacy Principles. Example: Legal-specific purpose codes such as 040 (marketing), 069 (customer management), and 090 (e-commerce services) are cited, illustrating the diverse reasons for data collection. |
Principle 2: Source of personal information | Relies on employers for personal information, emphasising collecting data through direct interactions with the service for example (simulations and in-vehicle assessments and coaching). | Personal Data is sourced from clients, distributors, suppliers, and through interactions with the company. Example: Data collected from clients’ employees and contractors for monitoring driving behaviour. | Information is directly collected from individuals through various online services and interactions, ensuring transparency and user consent. |
Principle 3: Collection of information from the subject | Besides employer-provided information, directly collects user data through assessments and training activities. Example: A user completing an online survey about their driving habits. | Information is collected directly from individuals or through their use of the company's products and services. Example: Collecting names and contact information of clients’ employees for service provision. | Personal data is directly collected from subjects via MiTAC's website and services, demonstrating a direct engagement with users. |
Principle 4: Manner of collection of personal information | Information is transferred electronically by employers and collected directly from users through AutoSense's platforms. We collect minimal data that identifies our client's employees. We can also support online processes where the employee is given a code by the employer rather than us having their name. | Data is collected lawfully and fairly, with clear purposes provided at collection points. Example: Obtaining consent for collecting sensitive Personal Data like biometric data for safety monitoring. | The policy mentions collection through both automated and manual methods, ensuring a balanced approach to data gathering. |
Principle 5: Storage and security of personal information | We use secure storage measures to protect personal information, including data collected from varied direct assessment tools. | Implements safeguards to protect Personal Data against unauthorised access. Example: Using administrative, technical, and physical measures to secure data. | MiTAC commits to protecting personal information with appropriate technological and procedural safeguards, reflecting a strong stance on data security. |
Principle 6: Access to personal information | We maintains the right for individuals to access and request corrections to their personal information, with procedures in place to facilitate these requests. | Individuals can access, correct, or delete their Personal Data. Example: Allowing individuals to request access to or correction of their Personal Data via privacy@seeingmachines.com. | Individuals can inquire, review, or request duplicates of their personal information. Example: Providing a contact email for inquiries facilitates user access to their data. |
Principle 7: Correction of personal information | AutoSense commits to correcting inaccuracies in personal information upon notification, emphasising the role of user and employer feedback in maintaining data accuracy. | Provides mechanisms for data correction or update. Example: Correcting inaccurate driver behaviour data upon request. | Users can request corrections to their personal information, with the policy stipulating an "adequate explanation" for such corrections, underscoring a commitment to data accuracy. |
Principle 8: Accuracy of personal information to be checked before use | Autosense depends on the employer for initial accuracy but takes responsibility for correcting reported inaccuracies, highlighting the process for users to request corrections. | Aims for accurate, complete, and up-to-date data. Example: Regularly updating driver and vehicle monitoring information to reflect current behaviours and conditions. | Although not explicitly stated, the policy's provisions for correction imply an inherent commitment to maintaining accurate data. |