PlateSmart Reviews

gtechna's advanced parking management and enforcement solution is relied upon by prominent cities around the globe. Our cloud-based platform equips municipalities, transportation authorities, and educational institutions with state-of-the-art applications designed to boost parking revenue, reduce operational expenses, and enhance the overall experience for drivers. By selecting gtechna for your parking management and enforcement requirements, you are aligning yourself with a pioneering company celebrated for its relentless innovation. Major cities such as Washington, D.C., Boston, Pittsburgh, Toronto, and Vancouver have already revolutionized their parking systems with gtechna—now it’s time for you to embrace the future of parking as well. Experience the benefits of a more efficient and effective parking management solution that adapts to your unique needs and challenges.

Vehicle Acquisition Network (VAN) is a purpose-built vehicle sourcing platform that enables car dealerships to acquire high-margin, fast-turning used vehicles directly from private sellers—bypassing auctions, reducing acquisition costs, and accelerating inventory turn. Today’s automotive market is more competitive than ever. Wholesale prices are climbing, auction fees are rising, and reconditioning delays eat into profitability. VAN solves this by giving dealers the tools and talent they need to target, engage, and acquire for-sale-by-owner (FSBO) vehicles in their local market with speed and efficiency. With VAN, dealers can: Access thousands of local private-party listings in real time Use AI-powered filters to find the most profitable cars Automate personalized outreach and follow-up with sellers Track communications, tasks, and acquisition progress in one unified CRM Eliminate auction fees, transport delays, and wholesale surprises For stores that lack time or staff to do this work in-house, VAN also offers a Managed Buyer program—a turnkey service where VAN’s expert acquisition team works on your behalf to find, contact, and negotiate with private sellers. It’s like hiring a full-time buyer without the overhead. Whether you're a single rooftop looking for more control or a large group scaling a private-party acquisition strategy, VAN adapts to your dealership's workflow and goals. Dealers using VAN regularly see faster turn times, higher front-end grosses, and more predictable inventory pipelines. Trusted by over 250 rooftops across the U.S. and Canada, VAN is how modern dealers compete with Carvana, CarMax, and other direct-to-consumer disruptors—by sourcing smarter, not just spending more.

Sighthound's cutting-edge AI-powered video technology leverages your data to deliver valuable insights into user behavior, reduce operational costs, and boost revenue, all while maintaining privacy and excelling in vehicle identification. This state-of-the-art deep learning framework originates from Sighthound's specialized computer vision research lab and incorporates patented innovations that perform well in both commercial applications and academic evaluations. The system can accurately identify vehicles using both stationary and dynamic cameras, providing detailed information on make, model, color, and generation for any vehicle produced since 1991. In addition, it possesses the capability to read license plates from various international regions, offering alphanumeric data along with local details for the United States, Canada, and major European countries. Furthermore, the technology effectively distinguishes different vehicle types, such as trucks, buses, motorcycles, bicycles, and pedestrians, while meticulously tracking their movements throughout recorded footage to ensure thorough surveillance and analysis. This sophisticated functionality revolutionizes how businesses interact with their surroundings, enabling enhanced comprehension of traffic patterns and security protocols, ultimately leading to more informed decision-making processes. By integrating these advanced analytics into their operations, organizations can not only improve safety but also optimize their resource allocation in real-time.