In the 21st century, amidst the fast-paced competition, every organization strives to achieve a drastic progression in its sales force productivity, by adopting new methodologies and trends. When talking about industrial vehicle management, to maintain a well-functioning & robust fleet of vehicles which are uninterrupted in their daily operations, just a keen eye for details is not enough. It also asks time-tested and/or innovative skills and years of experience to keep up with the demands of the job.
Industrial vehicle management presents its challenges. Unauthorized trips and poor route management are just two of the many issues that can act as a stumbling stone towards a company’s financial journey.
Although GPS has enabled tracking of vehicles, thanks to IoT, it is unable to predict the possible set of events by taking every parameter into account. Computer vision-based tracking and surveillance comes in to cover this area.
Many organizations today are opting for AI-powered vision-based tracking and surveillance to enhance their vehicle management solutions. Companies are now embracing such features as they are significant to their business. How?
- Greater return on investment
- Cost-saving
- Customer Satisfaction
- Updated real-time routes
- Driver management/employee behavior
- Efficient supply chain
Computer vision tracking and surveillance gather data, retain information, and the AI associated can run them into analytics and predict a possible outcome, even multiple outcomes, based on present conditions.
Why is intelligent vision tracking so important in industrial vehicle management?
It is a significant portion of the logistics and supplies chain industry today and here are the reasons why one needs to invest in computer vision-based monitoring in industrial vehicle fleet management:
AI-powered Vehicle Monitoring
Supply chain and logistics involve precise planning and proper execution of efficient transportation and storage of goods from start till the point of its delivery/consumption. Hence, monitoring flawless vehicle movement is vital in ensuring safe & secure deliverance. The AI-powered real-time monitoring not only ensures constant management insight into the last leg of the delivery, but it also tracks and retains every piece of information about vehicle status, operator condition, and everything that leads to the result.
Reformed Vehicle Routes
In supply chain & logistics, careful consideration is needed while mapping routes. The industrial vehicle management companies should consider unfavorable weather conditions, bad traffic, long or fuel refill stations. However, with all the planning on the table, one cannot simply predict or tackle the barriers. This is where computer vision aided real-time monitoring becomes useful. It provides information with the help of smart cameras and sensors, which allows companies to optimize their routes taking the above-mentioned factors into account. They can also allocate vehicles out for specified tasks depending upon vehicle maintenance schedules, real-time vehicle status, etc. Optimizing routes with the help of computer captured information not only saves time but saves money.
Reduction of Cost with Analytics
In the modern-day competitive market, where profit margins are paper-thin, organizations seek greater insights about employee’s work ethics to get an upper hand on other competitors. Staying updated about vehicle operations and their operators is the key. These operations generate a vast amount of data which includes vehicle health, routes taken, fuel maintenance, and the vehicle operator’s performance. After intelligent vision captures all the information, data analytics allows for leveraging the same to cultivate multiple scenarios and outcomes. With smart cameras on board, one can check their shipment in any part of the globe. The AI calculates and provides probable vehicle status such as the start of the journey, the rest stops it is supposed to take, and the approximate time of task completion. One can also keep a tab on driving skills, signal jumps, frequent brakes, speed checks, and many other aspects. Analyzing all that allows the management to inspect patterns at play and modify strategies accordingly.
Higher Customer Satisfaction
As mentioned in the previous point, computer-based vision tracking helps in retaining information that could be used to boost the consumer satisfaction index. Along with more customers in the fold, there is also a matter of goodwill and preference in the market. It retains customers and helps increase market reach. This only means a greater return on investment.
Improved Transparency
A prime advantage of an intelligent vision vehicle tracker is that it facilitates both aspects of a task, the manufacturer, and the end-user. Both parties are in a continuous status loop concerning the transit and deliverance of commodities, as both have access to real-time details. This enhances & improves the transparency between two parties. With such access to information, all parties remain on the same page.
Highlights Vehicle Operator
Vision tracking and surveillance also yield significant data on driver behavior, especially on the road. Usually, drivers resort to speeding, idling, and unwanted braking habits and they think they can always get away with. Computer vision cannot only help one verify work hours, but they can also predict the possibility of idling, unwanted brakes, and even foretell a driver’s mood after running everyday data through its analytics. When a driver knows he is being continuously monitored, they tend to be more conscious and responsible towards their driving and the task they are assigned to.
Technology has always worked for no other reason but to make life easier, speed up operations, and revolutionize how most things are done. With the introduction of computer vision-based tracking and surveillance to fleet management domain, fleet supervisors and managers now have a way to track, analyze, inspect whatever they are in charge of, and prevent any problem that might end in damages or losses. Computer vision is slowly but surely here to replace GPS tracking, while increasing ROI and increasing productivity, hence lowering the cost of investments while increasing profit.
