Intellidata Road High-position Small Gun Machine won the Smart Transportation Innovation Product Award

Recently, the Shenzhen Smart Transportation Industry Promotion Association held a conference and carried out the selection of Shenzhen's outstanding smart transportation application cases and innovative products. After multiple rounds of selection and strict review procedures, Intellidata's 8 million on-street parking high-position small gun successfully won the Shenzhen Smart Transportation Innovation Product Award with its excellent technology and innovation capabilities.

The 8MP small gun camera adopts an embedded front-end recognition solution, which is stable and reliable. The product has a compact appearance (net weight <1.5Kg), does not require poles, and can use existing poles to greatly reduce construction costs. It can identify and detect 3 to 5 parallel/vertical/diagonal parking spaces on the roadside in the city. It uses high-performance sensors, supports wide dynamic function and backlight compensation function, and can provide clear images in various complex lighting environments.

In addition to supporting high-precision license plate recognition algorithms, it also supports parking space status detection functions, such as occupied and empty spaces. It uses H.265 encoding to reduce transmission and storage space. The shell supports IP66 dust and water resistance and can adapt to various harsh environmental conditions.

In addition, the 8MP mini-camera also supports the dual-port hand-in-hand function, which is convenient for network construction. The integrated warm light fill light can effectively reduce light pollution. The camera has low power consumption and is green and environmentally friendly.

Winning the Smart Transportation Innovation Product Award is a high recognition of Intellidata's technical strength and innovation capabilities. In the future, Intellidata will continue to increase its R&D investment, continuously launch more innovative products and solutions, and make greater contributions to the development of smart transportation.